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The system develops, implements and supports partners in 1700 and more than 1,800 employees Qlik .\r\n","shortDescription":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":12,"sellingCount":15,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"QlikView","keywords":"QlikView, system, more, data, than, work, world, platform","description":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.\r\nAdvantages of QlikView platform: as associativity, short term i","og:title":"QlikView","og:description":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.\r\nAdvantages of QlikView platform: as associativity, short term i"},"eventUrl":"","translationId":258,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":627,"logo":false,"scheme":false,"title":"Infor LN","vendorVerified":0,"rating":"1.70","implementationsCount":3,"suppliersCount":0,"alias":"infor-ln","companyTypes":[],"description":"Get last-mile, micro-vertical functionality with Infor LN\r\nMeet the latest version of Infor LN, Infor LN 10.5. Whether you are a manufacturer for aerospace and defense, automotive, high tech and electronics, or industrial machinery, Infor LN has the features and capabilities to meet your unique business requirements.\r\nHarness the power of integrated, industry-specific analytics to gather real-time data and monitor your priority metrics for improved communication with both your customers and suppliers around the world.\r\nInteract with the beautiful new user interface available in Infor LN 10.5 for easier business process management on your shop floor and across your supply chain, with even clearer integration to financials, quality management, service management, order management, and CRM.\r\n<span style=\"font-weight: bold;\">Infor LN at a glance</span>\r\n<ul><li>Single-instance, global ERP</li><li>Designed for ETO, MTO, and complex product manufacturers</li><li>Industry-specific KPI dashboards</li><li>On-premise or cloud deployment</li><li>Virtualized technology platform</li><li>4500+ manufacturing companies</li><li>21 languages</li><li>49 country localizations</li></ul>\r\n<span style=\"font-weight: bold;\">Unique capabilities</span>\r\nThrive in a world of mass customization with Infor LN. More than 4,500 manufacturers trust LN to help improve, accelerate, and streamline the most complex manufacturing processes anywhere. When your manufacturing operation requires detailed tracking of millions of parts from thousands of sources worldwide from as-designed to as-maintained, you can rely on Infor LN.\r\n<span style=\"font-weight: bold;\">Dynamic Enterprise Modeling</span>\r\nDrive efficiency with global process standardization features that empower you to leverage industry best practices, develop your own, and replicate them around the globe, adjusting for size, structure, and regulations. Easily change processes post-implementation to capitalize on market changes and speed innovation.\r\n<span style=\"font-weight: bold;\">Assembly Line Control</span>\r\nPrecisely synchronize materials and manufacturing operations to assemble complex products with mass production efficiency and profitability. Quickly respond to last-minute customer changes with out-of-the-box best practices that enable just-in-time and in-line sequencing for made-to-order processes.<span style=\"white-space: pre;\">\t</span>\r\n<span style=\"font-weight: bold;\">Serial Genealogy</span>\r\nTrace individual components and share information across the value chain during and after production. With Infor LN, you have complete visibility of products, enabling you to generate revenue from service and maintenance long after products ship. Manage service plans, track warranty claims, and plan for end-of-life recycling or refurbishing.","shortDescription":"Infor LN is a cloud-based ERP system that gives manufacturers greater flexibility and even more Industry-specific capabilities","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":15,"sellingCount":19,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Infor LN","keywords":"Infor, with, your, management, manufacturing, service, processes, complex","description":"Get last-mile, micro-vertical functionality with Infor LN\r\nMeet the latest version of Infor LN, Infor LN 10.5. Whether you are a manufacturer for aerospace and defense, automotive, high tech and electronics, or industrial machinery, Infor LN has the features a","og:title":"Infor LN","og:description":"Get last-mile, micro-vertical functionality with Infor LN\r\nMeet the latest version of Infor LN, Infor LN 10.5. Whether you are a manufacturer for aerospace and defense, automotive, high tech and electronics, or industrial machinery, Infor LN has the features a"},"eventUrl":"","translationId":628,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":75,"title":"ERP - Enterprise Resource Planning","alias":"erp-enterprise-resource-planning","description":"<span style=\"font-weight: bold; \">Enterprise resource planning (ERP)</span> is the integrated management of main business processes, often in real-time and mediated by software and technology.\r\nEnterprise resource planning system is usually referred to as a category of business management software — typically a suite of integrated applications—that an organization can use to collect, store, manage, and interpret data from these many business activities.\r\nERP provides an integrated and continuously updated view of core business processes using common databases maintained by a database management system. \r\nEnterprise resource planning solutions track business resources— cash, raw materials, production capacity—and the status of business commitments: orders, purchase orders, and payroll. The applications that make up the system share data across various departments (manufacturing, purchasing, sales, accounting, etc.) that provide the data. \r\n<p class=\"align-left\">ERP facilitates information flow between all business functions and manages connections to outside stakeholders.</p>\r\n<p class=\"align-left\">You can think of an enterprise resource planning system as the glue that binds together the different computer systems for a large organization. Without an ERP application, each department would have its own system optimized for that division's particular tasks. With ERP software, each department still has its own system, but all of the systems can be accessed through one application with one interface.</p>\r\n<p class=\"align-left\">ERP applications also allows the different departments to communicate and share information more easily with the rest of the company. It collects information about the activity and state of different divisions, making this information available to other parts, where it can be used productively.</p>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\">ERP systems typically include the following characteristics:</span></p>\r\n<ul><li>An integrated system</li><li>Operates in (or near) real time</li><li>A common database that supports all the applications</li><li>A consistent look and feel across modules</li><li>Installation of the system with elaborate application/data integration by the Information Technology (IT) department, provided the implementation is not done in small steps</li><li>Deployment options include: on-premises, cloud hosted, or SaaS</li></ul>\r\n<p class=\"align-left\">Enterprise resource planning programs have traditionally been used by the big players in the market that have thousands of employees spread out over the world. However, software developers are now marketing business ERP solutions to small- and medium-sized companies. </p>\r\n<p class=\"align-left\">There are different types of ERP software ranging from industry-specific ERP solutions to web-based, or cloud ERP software; to small business ERP.<br />The type of ERP system that will work best for your business depends on the size of your organization and the functions of the ERP solution that can best support your business requirements.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Industry Specific ERP.</span> ERP systems for large corporations are often built from the ground up to suit the organization's specific and unique needs. For a small business like yours, an off-the-shelf model will work fine. Most are grouped into three categories to service manufacturing, finance or logistics based companies.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Web-Based ERP system.</span> ERP software services tend to be complex, requiring high-end computers to run them. However, instead of purchasing the software to run on your computer in your office, many suppliers offer Software as a Service, or SaaS. In this case, you pay a subscription to access the software and your data over the internet. Because the program is running on a remote server, you are free to access it from anywhere you have an Internet connection.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">ERP software for small business.</span> Although ERP systems can cover everything from supply chain management to accounting solutions as well as customer relations management, your business may not need to automate all these functions. Therefore, software developers offer scaled-down models at a lower, more cost-effective price. For instance, your operation may work fine with a system that offers sales and order management, but leaves out the module for warehouse management.<br /><br /><br /><br /><br /></p>","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What does an ERP do?</span></h1>\r\nThe purpose of an ERP management system is to improve efficiency (and thereby profitability) through improving how company resources are spent, whether those resources be time, money, staff or something else.<br />If you can reduce how many resources are being used, without sacrificing quality/performance, then you can grow your business more efficiently and appropriately.\r\nERP software combines a number of different reports and metrics across various departments into the same environment. This makes it easier to get a full view of what’s going on and how resources are being spent.<br />From this vantage point of the business, you can discover key insights into how processes might be improved or resources better spent to generate higher growth. \r\nWithout an ERP system and proper planning of how resources should be spent to maximize growth and the bottom line, it is much easier to invest resources in tactics that underperform.\r\nConversely, a great ERP software platform allows a business to allocate resources away from underperforming tactics and into those that are generating good returns.\r\n<p class=\"align-left\">An ERP system also makes it faster to find the information or report you’re after because everything is in the same place. You don’t have to search through spreadsheets or look through different business applications to find that kernel of data you need; it’s all available and accessible right from the ERP interface.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the different features of ERP software?</span></h1>\r\n<p class=\"align-center\"></p></header>\r\nERP software can differ depending on the package you purchase and the provider. That being said, there are some key features that you should look for when researching ERP software providers. Your software should, at the bare minimum, offer the following modules:\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Accounting:</span> Manage all of your financial reports in the same interface, such as purchase orders, expenses, sales reports, payroll, etc. This makes it easier to monitor your cash flow and revenue and determines how money might be better spent or how you can reduce your burn rate.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Inventory and warehousing</span>: If your business has inventory or warehouse processes, your ERP business software needs to be able to integrate those operations to better track and manage goods. This makes it easier to see how much inventory is available, what inventory is going out for delivery, what inventory is coming in from which vendors and more. Carefully monitoring and tracking these processes helps protect a business from running out of stock, mismanaging a delivery and other potential issues.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">eCommerce and web</span>: It’s essential for a business to be able to see the eCommerce side of their business separate from physical, retail sales. After all, the tactics you leverage to encourage online sales are different than the ones you use for your physical stores. An excellent ERP system will enhance your existing web offerings to include better purchase options for customers to choose from.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Human resources</span>: As much as a business strives to keep customers happy and retained, it is equally important that your employees remain happy as well. The HR module of your ERP system contains all of the employee management processes, including payroll expenses, recruitment, performance evaluations, attendance, scheduling and more. It’s a one-stop module for all employee management and communication efforts.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">CRM and marketing</span>: Your brand-customer relationships are ultimately going to drive repeat business. It’s important to know how effectively your marketing tactics are working at engaging and re-engaging customers, whether those tactics are email marketing campaigns, social media offers, surveys, follow-up phone calls and others. The CRM module will better express what’s working and what isn’t and how marketing is translating into added revenue.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Project management:</span> The last should-have feature of your ERP software product is a project management tool, which allows you to communicate productively across your organization to plan and execute projects internally. This helps ensure company cohesion by getting every involved stakeholder or employee on the same page and in-the-know as to the most current business objectives and goals.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Benefits of ERP software and why to build it</span></h1>\r\n<p class=\"align-left\">In today’s business environments, it’s hard to move on without an ERP system. Among the main benefits of ERP implementation is automatization of manual tasks staff spends hours on and thus improves the overall business performance. So the staff can focus on more important initiatives. At the same time, you can collect real-time data for improving performance management and making data-driven decisions.<br />ERP&nbsp; planning software comes handy in lots of areas due to its in-built modules and flexibility. Here are a few advantages of ERP software tools:</p>\r\n<p class=\"align-left\"><br />1. <span style=\"font-weight: bold;\">Reduce operating cost</span>. The company starts gaining profit as soon as the ERP system is implemented. Prepare to face the reduction of marketing expenses, inventory maintenance, production cost and so on. Also, if you’re aimed at combining all business processes within a unified system, ERP is the right choice. By using the software, it’s easy to improve cross-department cooperation and increase staff’s efficiency.</p>\r\n<p class=\"align-left\">2.<span style=\"font-weight: bold;\"> Instant data access.</span> With ERP systems, employees soon forget about hours spent on collecting necessary details. Instead, they can be accessed in just a few minutes. Works great for busy executives and department managers that need to access data quickly.</p>\r\n<p class=\"align-left\">3. <span style=\"font-weight: bold;\">Defined planning process.</span> It’s easy to understand the business objectives, targets and aims when you have a full list of business needs, outcomes, and assets all in one place.</p>\r\n<p class=\"align-left\">Sure, ERP systems also have some disadvantages. The most common issue is the price. It’s almost impossible for small companies to develop an ERP suite for their own needs, only middle and large-sized corporations can afford it.<br /><br /><br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/ERP_-_Enterprise_Resource_Planning.png"},{"id":363,"title":"Project and Portfolio Management","alias":"project-and-portfolio-management","description":"<span style=\"font-weight: bold;\">Project Portfolio Management (PPM)</span> is the centralized management of the processes, methods, and technologies used by project managers and project management offices (PMOs) to analyze and collectively manage current or proposed projects based on numerous key characteristics. The objectives of PPM are to determine the optimal resource mix for delivery and to schedule activities to best achieve an organization’s operational and financial goals, while honouring constraints imposed by customers, strategic objectives, or external real-world factors. The International standard defines the framework of the Project Portfolio Management.\r\nPPM provides program and project managers in large, program/project-driven organizations with the capabilities needed to manage the time, resources, skills, and budgets necessary to accomplish all interrelated tasks. It provides a framework for issue resolution and risk mitigation, as well as the centralized visibility to help planning and scheduling teams to identify the fastest, cheapest, or most suitable approach to deliver projects and programs. Portfolio Managers define Key Performance Indicators and the strategy for their portfolio.\r\n<span style=\"font-style: italic;\">Pipeline Management.</span> Pipeline management involves steps to ensure that an adequate number of project proposals are not generated and not evaluated to determine whether (and how) a set of projects in the portfolio can be executed with finite development resources in a specified time. There are three major sub-components to pipeline management: ideation, work intake processes, and Phase-Gate reviews. Fundamental to pipeline management is the ability to align the decision-making process for estimating and selecting new capital investment projects with the strategic plan.\r\n<span style=\"font-style: italic;\">Resource Manager.</span> The focus on the efficient and effective deployment of an organization’s resources where and when they are needed. These can include financial resources, inventory, human resources, technical skills, production, and design. In addition to project-level resource allocation, users can also model ‘what-if’ resource scenarios, and extend this view across the portfolio.\r\n<span style=\"font-style: italic;\">Change Control.</span> The capture and prioritization of change requests that can include new requirements, features, functions, operational constraints, regulatory demands, and technical enhancements. PPM provides a central repository for these change requests and the ability to match available resources to evolving demand within the financial and operational constraints of individual projects.\r\n<span style=\"font-style: italic;\">Financial Management.</span> With PPM, the Office of Finance can improve their accuracy for estimating and managing the financial resources of a project or group of projects. In addition, the value of projects can be demonstrated in relation to the strategic objectives and priorities of the organization through financial controls and to assess progress through earned value and other project financial techniques.\r\n<span style=\"font-style: italic;\">Risk Management.</span> An analysis of the risk sensitivities residing within each project, as the basis for determining confidence levels across the portfolio. The integration of cost and schedule risk management with techniques for determining contingency and risk response plans, enable organizations to gain an objective view of project uncertainties.","materialsDescription":" <span style=\"font-weight: bold;\">What’s the difference between Project Management and Project Portfolio Management?</span>\r\nProject management is focused on an individual project, making sure it achieves its objectives and adheres to cost schedule baselines and performance standards. Project portfolio management, on the other hand, takes into consideration all the projects within a portfolio. The primary objective here is to select and maintain the appropriate mix of projects and to assess the costs, risks, and returns of running these projects in relation to how they match with organizational goals. Simply put, project management is about doing the project right, project portfolio management is about doing the right projects.\r\n<span style=\"font-weight: bold;\">What Problems Can Project Portfolio Management Address?</span>\r\nProject Portfolio Management helps companies avoid project overload and work on projects that are not aligned with the ultimate vision. In other words, project portfolio management helps companies to work towards their goals without getting sidetracked by too many shiny pennies (ie. projects that appear to be enticing but actually drain their resources for little return).\r\n<span style=\"font-weight: bold;\">How does Project Portfolio Management help with new product development?</span>\r\nProject Portfolio Management supports companies in assessing, evaluating and ranking new product ideas before they become projects, so that time, money and human resources can be spent working on projects that support strategic objectives. This becomes increasingly important and relevant for companies that receive dozens if not hundreds of project proposals.\r\n<span style=\"font-weight: bold;\">What are the key elements of successful portfolio management?</span>\r\nGoals, objectives, governance, approval processes and monitoring portfolio performance.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Project_and_Portfolio_Management.png"},{"id":359,"title":"Order Management","alias":"order-management","description":" Order management is the administration of business processes related to orders for goods or services. Order management is the order-to-cash sales process that sits at the heart of any goods-based B2C and B2B company. Put simply, it’s the end-to-end cycle of receiving and processing a customer order through to fulfillment. \r\nOrder management is not conducted in isolation; it relies upon almost every department in a company: from a customer service team to the warehouse staff, the accounting department through to delivery partners. When mastered effectively, order management ensures a business’s workflow runs smoothly by establishing efficient processes to keep it moving forward; maintaining customer satisfaction and protecting a company’s reputation.\r\nOrder management involves a series of interconnected touchpoints and stakeholders who work collaboratively together to enable customers to order the right products, for the right price and receive them at the right time. The order fulfillment system (as it is also known) not only secures that order-to-cash (O2C) processes run smoothly, but also gives businesses the opportunity to build customer profiles and keep track of inventory volume and sales records.\r\nWhen scaling your business, it’s important to automate and streamline this process — otherwise, you’ll eventually be overwhelmed by the sheer number of orders coming in. An ordering system gives you a one-stop shop to view and manage all customer orders in one place.\r\nSome systems offer a two-way sync that makes sure order information is passed between your order management system and your ecommerce platform while providing you with visibility into the entire process. This can help automate the flow of sales order information to every piece of the supply chain. That means you can track the entire journey of a customer order, from the “Buy” button to delivery — and even returns.\r\nOrder processing is the process or work flow from order placement to delivery. This is a key element of order fulfillment, where reliability and accuracy lead to customer satisfaction. Steps in order processing include picking, sorting, tracking and shipping. Order processing can range from manual (hand written on an order log sheet) to highly technological and data driven (through online orders and order processing software) depending on the operation.\r\nIn order to establish a fast-moving, cost-effective and accurate order management cycle, both B2C and B2B companies are choosing to use an integrated and responsive order management system (OMS). The OMS integrates directly with a business’s ERP and is set up to work alongside the human workforce in order to obtain the most productive and profitable order management cycle possible.\r\nAn integrated order management system may encompass these modules:\r\n<ul><li>Product information (descriptions, attributes, locations, quantities)</li><li>Inventory available to promise (ATP) and sourcing</li><li>Vendors, purchasing, and receiving</li><li>Marketing (catalogs, promotions, pricing)</li><li>Customers and prospects</li><li>Order entry and customer service (including returns and refunds)</li><li>Financial processing (credit cards, billing, payment on account)</li><li>Order processing (selection, printing, picking, packing, shipping) </li></ul>","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is OMS software?</span></h1>\r\nAn order management system is a software system that facilitates and manages the execution of trade orders. An order management system is any tool or platform that tracks sales, orders, inventory, and fulfillment as well as enables the people, processes, and partnerships necessary for products to find their way to the customers who bought them. \r\nAn order processing system software should provide one centralized place to manage orders from all sales channels. Centralizing this in one system is critical to delivering a superior customer experience by providing order status, on-time deliveries and meeting customer expectations for buy, fulfill and return anywhere. \r\nThe right solution gives you a foundation for consistent and seamless execution across all customer, financial, inventory and supply chain touch points that drives customer satisfaction, repeat business and long-term loyalty. Additionally, order management systems can improve sales visibility and reduce delays and back orders by giving you a single view of demand, inventory and supply.\r\nAn effective order management system software lets you seamlessly orchestrate the fulfillment of products and services across virtually all your customer touch points. Without a centralized order management system, realizing a comprehensive view of demand, transactions and customers across all channels and fulfillment locations can be extremely difficult.\r\nOrder management software equips you to think beyond the inventory on hand to focus on what's available to promise to your customers. It eliminates costly and rigid inventory segmentation across channels and business units with a single, real-time, consolidated view of inventory across the enterprise, from your suppliers and manufacturing facilities to your warehouse and stores.\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">How to choose the right OMS software?</span></h1>\r\n<ul><li><span style=\"font-weight: bold;\">Define your system objectives and priorities of each.</span> By doing so and discussing with your internal stakeholders, you’ll clearly understand features that are “absolute requirements” vs. ones that are “nice to have.” Don’t forget to factor in scalability and future thinking.</li><li><span style=\"font-weight: bold;\">Draft a request for proposal (RFP)</span>. This will help your team get organized and both you and the vendor(s) understand the technical requirements and limitations of the system you’re hoping to implement. Don’t forget to include order volumes, number of SKUs, current vendor landscape, existing software, hardware, and networks, a timeline for the systems acquisition process, and details on training &amp; enablement.</li><li><span style=\"font-weight: bold;\">Research systems options</span>. It’s unlikely that you’ll find an ideal fit for your business with your first contact (but how amazing would that be), so compile a list of 4-6 vendors to evaluate and reach out to for demos or trails. </li><li><span style=\"font-weight: bold;\">Review trade-offs.</span> It’s unlikely you’ll find a vendor that is a 100% fit and your final selection will be based on a number of trade-off criteria. Feature &amp; function alone shouldn’t be your sole selection criteria as you’ll want to take into account the entirety of the business relationship you’re getting into.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">How do your customers benefit from an online order management system?</span></h1>\r\nAn online ordering software doesn’t just benefit you, though. It also benefits your customers. The system will give them a quick, convenient, and 24/7 way to place orders without having to call or email your staff, or fill out old-fashioned Excel or Word order forms. They'll have instant, online updates on the status of their orders, and they’ll have greater confidence that their orders will arrive on-time and with the correct items. An online order management system also makes your company look more professional in the eyes of your customers.Here are three ways they benefit:\r\n\r\n<ul><li><span style=\"font-weight: bold;\">They can place orders on their schedule.</span> Between managing employees, servicing customers, and marketing their business, most business owners are working on a very tight schedule. Taking the time to call or email your sales staff or meet with a sales rep can be challenging. Using an online product ordering system that allows customers to log on at their convenience and quickly choose the items they want to order goes a long way for customer service. If they place the same order on a regular basis, they can use a reorder feature which duplicates previous orders. The whole process takes a matter of seconds. So alleviate this challenge by implementing a system that allows your customers to place an order anytime.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">They can check their order status at any time.</span> One of the biggest challenges a business faces is managing their inventory. On one hand, they want to have enough inventory available to service their customers. On the other hand, they don’t want to have inventory piling up on their shelves. There’s a critical need to know with confidence when inventory will arrive.</li></ul>\r\n\r\n<ul><li> <span style=\"font-weight: bold;\">They have a higher probability of receiving the correct order in a timely manner. </span>Nothing will erode your customers' trust more than making errors on their shipments and invoices. If it happens once, that may be forgiven as a simple mistake. However, if it happens repeatedly, your customer is likely to start looking for alternative options. An online order management system with warehouse integration can send the order directly to your third party warehouse. This reduces the probability that an error will be made. The less people who handle the order information, the lower the likelihood for human error.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Order_Management.png"},{"id":357,"title":"Procurement","alias":"procurement","description":" Procurement is the process of finding and agreeing to terms, and acquiring goods, services, or works from an external source, often via a tendering or competitive bidding process.\r\nProcurement generally involves making buying decisions under conditions of scarcity. If sound data is available, it is good practice to make use of economic analysis methods such as cost-benefit analysis or cost-utility analysis.\r\nProcurement is used to ensure the buyer receives goods, services, or works at the best possible price when aspects such as quality, quantity, time, and location are compared. Corporations and public bodies often define processes intended to promote fair and open competition for their business while minimizing risks such as exposure to fraud and collusion.\r\nAlmost all purchasing decisions include factors such as delivery and handling, marginal benefit, and price fluctuations.\r\nAn important distinction should be made between analyses without risk and those with risk. Where risk is involved, either in the costs or the benefits, the concept of best value should be employed.\r\nProcurement activities are also often split into two distinct categories, direct and indirect spend. Direct spend refers to the production-related procurement that encompasses all items that are part of finished products, such as raw material, components and parts. Direct procurement, which is the focus in supply chain management, directly affects the production process of manufacturing firms. In contrast, indirect procurement concerns non-production-related acquisition: obtaining &quot;operating resources&quot; which a company purchases to enable its operations. Indirect procurement comprises a wide variety of goods and services, from standardized items like office supplies and machine lubricants to complex and costly products and services like heavy equipment, consulting services, and outsourcing services.\r\nProcurement software (often labeled as e-procurement software) manages the purchasing processes electronically or via cloud computing.","materialsDescription":" <span style=\"font-weight: bold; \">What is Procurement?</span>\r\nProcurement is, quite simply, the act of acquiring goods and/or services through a tendering, or competitive bid, process. This is where the Buyer will release a ‘contract notice’ through an electronic portal (known as e-tendering, or e-procurement software) detailing:\r\n<ul><li>The contract title and description of goods/services required.</li><li>A Specification, and/or Scope of Works.</li><li>The approximate contract value/budget.</li><li>The length of delivery required.</li><li>The location of delivery.</li><li>Details surrounding the timetable for the tendering process, including the submission deadline, site visit dates, and clarification deadlines.</li><li>The tendering documents to be completed (such as SQ / PQQ documents, ITT documents, RFPs or RFQs).</li></ul>\r\nSuppliers (of goods and/or services) will then put together a tender response in line with the provided guidelines and submit them through the provided medium. The Buyer will then assess all of the responses against the evaluation criteria they have chosen and, ultimately, a supplier will be awarded the Contract.\r\n<span style=\"font-weight: bold; \">How is Procurement different from Purchasing?</span>\r\nThe distinction between Procurement and Purchasing can be confusing if you are new to the process, as it is common to hear the terms being used interchangeably. However, in this instance the difference between Procurement and Purchasing is this:\r\nProcurement is the umbrella term for the entire process of sourcing, selecting and acquiring goods or services, from conception to conclusion.\r\nPurchasing is just one small part of the procurement process (the acquisition) and does not cover the other stages, such as the creation of the specification of works, management of the procurement process, bidding/tendering, evaluation/vetting or agreement of terms.\r\n<span style=\"font-weight: bold; \">Why is Procurement Important?</span>\r\nProcurement is an important, democratic process (when done correctly!) which is especially important to businesses for the following reasons:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It can save you money.</span></span> The procurement process will allow you the best chance to find a supplier (or, suppliers) who most closely matches your needs and requirements, whilst offering the best value for money. Most often, Buyers will evaluate tenders through the MEAT method (Most Economically Advantageous Tender) which involves scoring the cost the supplier has provided, scoring their quality responses and then conflating the two scores to award an overall total mark. The Supplier with the best overall mark is, therefore, the provider of the Most Economically Advantageous Tender.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It widens the scope of your options.</span></span> As well as allowing the Buyer to find a Supplier who will offer the best value for money, the Procurement process enables Buyers to receive tenders from potential Suppliers across the country, who may offer experience and added value that local Suppliers do not, or cannot. Essentially, the Procurement process levels the playing field and allows the Buyer a better opportunity to gauge the suitability of multiple Suppliers.\r\n<span style=\"font-weight: bold;\">How could Procurement benefit your business?</span>\r\nProcurement specialists are available to advise on specifics relevant to your particular industry and business, but broadly speaking there are several reasons why breaking into Procurement could revolutionize the way you source and acquire goods and services:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It streamlines the workload.</span></span> If you require a new Supplier to provide an ongoing service, let’s say for 3 years, then you want to be absolutely sure that you are getting the best possible Supplier, and that they will definitely meet all of your requirements. It would be a poor use of staffing resources to dedicate personnel to researching and contacting potential businesses, which could take an inordinate amount of time and still not result in finding a Supplier that meets your requirements. By going through the Procurement process, you can streamline that normally weighty task through following these simple steps:\r\n<ul><li>Identify the need (what service/goods does your business require?).</li><li>Authorize the decision to find a Supplier who can address this need.</li><li>Establish the parameters of the proposed contract (budget/value, duration, essential vs. desirable requirements, etc).</li><li>Create the tender documentation (including the Specification / Scope of Works, Supplier Questionnaire, Instructions to Tenderers, Pricing document, etc).</li><li>Publish the tender through the public Procurement Portal of your choosing.</li><li>Evaluate the tender submissions against your chosen criteria.</li><li>Award the contract to your chosen Supplier.</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Ensures accountability.</span></span> When you release a detailed contract notice, with corresponding tender documents, that explicitly states your requirements and the standards that the potential Supplier needs to meet (such as minimum annual turnover, compliance with industry-specific standards and evidence of previous experience) companies can then be held fully accountable for ensuring that they meet these requirements before submitting their responses.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Prevent corruption.</span></span> By having Suppliers fill out a Supplier Questionnaire you can screen companies for information such as breaches of lawful, environmental or health and safety obligations. Additionally, you can request evidence (in the form of financial records) that they will not pose a financial risk to your operation and are capable of delivering the service. In order to pass the Supplier Questionnaire, Suppliers are required to self-certify that they meet all necessary requirements, and can be held fully accountable if this is not the case.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Procurement.png"},{"id":351,"title":"Financial Accounting Applications","alias":"financial-accounting-applications","description":" Financial accounting (or financial accountancy) is the field of accounting concerned with the summary, analysis and reporting of financial transactions related to business. This involves the preparation of financial statements available for public use. Stockholders, suppliers, banks, employees, government agencies, business owners, and other stakeholders are examples of people interested in receiving such information for decision-making purposes.\r\nFinancial accountancy is governed by both local and international accounting standards. Generally Accepted Accounting Principles (GAAP) is the standard framework of guidelines for financial accounting used in any given jurisdiction. It includes the standards, conventions and rules that accountants follow in recording and summarizing and in the preparation of financial statements.\r\nOn the other hand, International Financial Reporting Standards (IFRS) is a set of passionate accounting standards stating how particular types of transactions and other events should be reported in financial statements. IFRS are issued by the International Accounting Standards Board (IASB). With IFRS becoming more widespread on the international scene, consistency in financial reporting has become more prevalent between global organizations.\r\nWhile financial accounting is used to prepare accounting information for people outside the organization or not involved in the day-to-day running of the company, managerial accounting provides accounting information to help managers make decisions to manage the business.","materialsDescription":" <span style=\"font-weight: bold;\">What is accounting?</span>\r\nAccounting is the recording of financial transactions along with storing, sorting, retrieving, summarizing, and presenting the results in various reports and analyses. Accounting is also a field of study and profession dedicated to carrying out those tasks.\r\n<span style=\"font-weight: bold;\">What are the examples of Financial Accounting?</span>\r\nOne part of accounting focuses on presenting the financial information in the form of general-purpose financial statements (balance sheet, income statement, etc.) that are distributed to people outside of the company. These external reports must be prepared in accordance with generally accepted accounting principles often referred to as GAAP or US GAAP.\r\n<span style=\"font-weight: bold;\">What is the difference between financial accounting and management accounting?</span>\r\nFinancial accounting has its focus on the financial statements which are distributed to stockholders, lenders, financial analysts, and others outside of a corporation or other organization. Because of the many users, the financial statements must comply with the generally accepted accounting principles, known as GAAP or US GAAP.<br />Managerial accounting is focused on assisting management in the operation of the company. This will include analyzing a company's costs, assisting in financial decisions, profit planning, calculating break-even points, capital budgeting, and calculating the costs of existing products in order to value the company's inventory and to determine the cost of goods sold (both to be used on the financial statements).","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Financial_Accounting_Applications.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[{"id":217,"title":"Ukraine","name":"UKR"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":7,"title":"Improve Customer Service"},{"id":8,"title":"Reduce Production Timelines"},{"id":9,"title":"Support Decision Making"},{"id":10,"title":"Ensure Compliance"},{"id":307,"title":"Enhance Competitive Ability"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":356,"title":"High costs of routine operations"},{"id":370,"title":"No automated business processes"},{"id":393,"title":"Complex and non-transparent business processes"}]}},"categories":[{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":75,"title":"ERP - Enterprise Resource Planning","alias":"erp-enterprise-resource-planning","description":"<span style=\"font-weight: bold; \">Enterprise resource planning (ERP)</span> is the integrated management of main business processes, often in real-time and mediated by software and technology.\r\nEnterprise resource planning system is usually referred to as a category of business management software — typically a suite of integrated applications—that an organization can use to collect, store, manage, and interpret data from these many business activities.\r\nERP provides an integrated and continuously updated view of core business processes using common databases maintained by a database management system. \r\nEnterprise resource planning solutions track business resources— cash, raw materials, production capacity—and the status of business commitments: orders, purchase orders, and payroll. The applications that make up the system share data across various departments (manufacturing, purchasing, sales, accounting, etc.) that provide the data. \r\n<p class=\"align-left\">ERP facilitates information flow between all business functions and manages connections to outside stakeholders.</p>\r\n<p class=\"align-left\">You can think of an enterprise resource planning system as the glue that binds together the different computer systems for a large organization. Without an ERP application, each department would have its own system optimized for that division's particular tasks. With ERP software, each department still has its own system, but all of the systems can be accessed through one application with one interface.</p>\r\n<p class=\"align-left\">ERP applications also allows the different departments to communicate and share information more easily with the rest of the company. It collects information about the activity and state of different divisions, making this information available to other parts, where it can be used productively.</p>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\">ERP systems typically include the following characteristics:</span></p>\r\n<ul><li>An integrated system</li><li>Operates in (or near) real time</li><li>A common database that supports all the applications</li><li>A consistent look and feel across modules</li><li>Installation of the system with elaborate application/data integration by the Information Technology (IT) department, provided the implementation is not done in small steps</li><li>Deployment options include: on-premises, cloud hosted, or SaaS</li></ul>\r\n<p class=\"align-left\">Enterprise resource planning programs have traditionally been used by the big players in the market that have thousands of employees spread out over the world. However, software developers are now marketing business ERP solutions to small- and medium-sized companies. </p>\r\n<p class=\"align-left\">There are different types of ERP software ranging from industry-specific ERP solutions to web-based, or cloud ERP software; to small business ERP.<br />The type of ERP system that will work best for your business depends on the size of your organization and the functions of the ERP solution that can best support your business requirements.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Industry Specific ERP.</span> ERP systems for large corporations are often built from the ground up to suit the organization's specific and unique needs. For a small business like yours, an off-the-shelf model will work fine. Most are grouped into three categories to service manufacturing, finance or logistics based companies.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Web-Based ERP system.</span> ERP software services tend to be complex, requiring high-end computers to run them. However, instead of purchasing the software to run on your computer in your office, many suppliers offer Software as a Service, or SaaS. In this case, you pay a subscription to access the software and your data over the internet. Because the program is running on a remote server, you are free to access it from anywhere you have an Internet connection.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">ERP software for small business.</span> Although ERP systems can cover everything from supply chain management to accounting solutions as well as customer relations management, your business may not need to automate all these functions. Therefore, software developers offer scaled-down models at a lower, more cost-effective price. For instance, your operation may work fine with a system that offers sales and order management, but leaves out the module for warehouse management.<br /><br /><br /><br /><br /></p>","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What does an ERP do?</span></h1>\r\nThe purpose of an ERP management system is to improve efficiency (and thereby profitability) through improving how company resources are spent, whether those resources be time, money, staff or something else.<br />If you can reduce how many resources are being used, without sacrificing quality/performance, then you can grow your business more efficiently and appropriately.\r\nERP software combines a number of different reports and metrics across various departments into the same environment. This makes it easier to get a full view of what’s going on and how resources are being spent.<br />From this vantage point of the business, you can discover key insights into how processes might be improved or resources better spent to generate higher growth. \r\nWithout an ERP system and proper planning of how resources should be spent to maximize growth and the bottom line, it is much easier to invest resources in tactics that underperform.\r\nConversely, a great ERP software platform allows a business to allocate resources away from underperforming tactics and into those that are generating good returns.\r\n<p class=\"align-left\">An ERP system also makes it faster to find the information or report you’re after because everything is in the same place. You don’t have to search through spreadsheets or look through different business applications to find that kernel of data you need; it’s all available and accessible right from the ERP interface.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the different features of ERP software?</span></h1>\r\n<p class=\"align-center\"></p></header>\r\nERP software can differ depending on the package you purchase and the provider. That being said, there are some key features that you should look for when researching ERP software providers. Your software should, at the bare minimum, offer the following modules:\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Accounting:</span> Manage all of your financial reports in the same interface, such as purchase orders, expenses, sales reports, payroll, etc. This makes it easier to monitor your cash flow and revenue and determines how money might be better spent or how you can reduce your burn rate.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Inventory and warehousing</span>: If your business has inventory or warehouse processes, your ERP business software needs to be able to integrate those operations to better track and manage goods. This makes it easier to see how much inventory is available, what inventory is going out for delivery, what inventory is coming in from which vendors and more. Carefully monitoring and tracking these processes helps protect a business from running out of stock, mismanaging a delivery and other potential issues.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">eCommerce and web</span>: It’s essential for a business to be able to see the eCommerce side of their business separate from physical, retail sales. After all, the tactics you leverage to encourage online sales are different than the ones you use for your physical stores. An excellent ERP system will enhance your existing web offerings to include better purchase options for customers to choose from.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Human resources</span>: As much as a business strives to keep customers happy and retained, it is equally important that your employees remain happy as well. The HR module of your ERP system contains all of the employee management processes, including payroll expenses, recruitment, performance evaluations, attendance, scheduling and more. It’s a one-stop module for all employee management and communication efforts.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">CRM and marketing</span>: Your brand-customer relationships are ultimately going to drive repeat business. It’s important to know how effectively your marketing tactics are working at engaging and re-engaging customers, whether those tactics are email marketing campaigns, social media offers, surveys, follow-up phone calls and others. The CRM module will better express what’s working and what isn’t and how marketing is translating into added revenue.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Project management:</span> The last should-have feature of your ERP software product is a project management tool, which allows you to communicate productively across your organization to plan and execute projects internally. This helps ensure company cohesion by getting every involved stakeholder or employee on the same page and in-the-know as to the most current business objectives and goals.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Benefits of ERP software and why to build it</span></h1>\r\n<p class=\"align-left\">In today’s business environments, it’s hard to move on without an ERP system. Among the main benefits of ERP implementation is automatization of manual tasks staff spends hours on and thus improves the overall business performance. So the staff can focus on more important initiatives. At the same time, you can collect real-time data for improving performance management and making data-driven decisions.<br />ERP&nbsp; planning software comes handy in lots of areas due to its in-built modules and flexibility. Here are a few advantages of ERP software tools:</p>\r\n<p class=\"align-left\"><br />1. <span style=\"font-weight: bold;\">Reduce operating cost</span>. The company starts gaining profit as soon as the ERP system is implemented. Prepare to face the reduction of marketing expenses, inventory maintenance, production cost and so on. Also, if you’re aimed at combining all business processes within a unified system, ERP is the right choice. By using the software, it’s easy to improve cross-department cooperation and increase staff’s efficiency.</p>\r\n<p class=\"align-left\">2.<span style=\"font-weight: bold;\"> Instant data access.</span> With ERP systems, employees soon forget about hours spent on collecting necessary details. Instead, they can be accessed in just a few minutes. Works great for busy executives and department managers that need to access data quickly.</p>\r\n<p class=\"align-left\">3. <span style=\"font-weight: bold;\">Defined planning process.</span> It’s easy to understand the business objectives, targets and aims when you have a full list of business needs, outcomes, and assets all in one place.</p>\r\n<p class=\"align-left\">Sure, ERP systems also have some disadvantages. The most common issue is the price. It’s almost impossible for small companies to develop an ERP suite for their own needs, only middle and large-sized corporations can afford it.<br /><br /><br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/ERP_-_Enterprise_Resource_Planning.png"},{"id":363,"title":"Project and Portfolio Management","alias":"project-and-portfolio-management","description":"<span style=\"font-weight: bold;\">Project Portfolio Management (PPM)</span> is the centralized management of the processes, methods, and technologies used by project managers and project management offices (PMOs) to analyze and collectively manage current or proposed projects based on numerous key characteristics. The objectives of PPM are to determine the optimal resource mix for delivery and to schedule activities to best achieve an organization’s operational and financial goals, while honouring constraints imposed by customers, strategic objectives, or external real-world factors. The International standard defines the framework of the Project Portfolio Management.\r\nPPM provides program and project managers in large, program/project-driven organizations with the capabilities needed to manage the time, resources, skills, and budgets necessary to accomplish all interrelated tasks. It provides a framework for issue resolution and risk mitigation, as well as the centralized visibility to help planning and scheduling teams to identify the fastest, cheapest, or most suitable approach to deliver projects and programs. Portfolio Managers define Key Performance Indicators and the strategy for their portfolio.\r\n<span style=\"font-style: italic;\">Pipeline Management.</span> Pipeline management involves steps to ensure that an adequate number of project proposals are not generated and not evaluated to determine whether (and how) a set of projects in the portfolio can be executed with finite development resources in a specified time. There are three major sub-components to pipeline management: ideation, work intake processes, and Phase-Gate reviews. Fundamental to pipeline management is the ability to align the decision-making process for estimating and selecting new capital investment projects with the strategic plan.\r\n<span style=\"font-style: italic;\">Resource Manager.</span> The focus on the efficient and effective deployment of an organization’s resources where and when they are needed. These can include financial resources, inventory, human resources, technical skills, production, and design. In addition to project-level resource allocation, users can also model ‘what-if’ resource scenarios, and extend this view across the portfolio.\r\n<span style=\"font-style: italic;\">Change Control.</span> The capture and prioritization of change requests that can include new requirements, features, functions, operational constraints, regulatory demands, and technical enhancements. PPM provides a central repository for these change requests and the ability to match available resources to evolving demand within the financial and operational constraints of individual projects.\r\n<span style=\"font-style: italic;\">Financial Management.</span> With PPM, the Office of Finance can improve their accuracy for estimating and managing the financial resources of a project or group of projects. In addition, the value of projects can be demonstrated in relation to the strategic objectives and priorities of the organization through financial controls and to assess progress through earned value and other project financial techniques.\r\n<span style=\"font-style: italic;\">Risk Management.</span> An analysis of the risk sensitivities residing within each project, as the basis for determining confidence levels across the portfolio. The integration of cost and schedule risk management with techniques for determining contingency and risk response plans, enable organizations to gain an objective view of project uncertainties.","materialsDescription":" <span style=\"font-weight: bold;\">What’s the difference between Project Management and Project Portfolio Management?</span>\r\nProject management is focused on an individual project, making sure it achieves its objectives and adheres to cost schedule baselines and performance standards. Project portfolio management, on the other hand, takes into consideration all the projects within a portfolio. The primary objective here is to select and maintain the appropriate mix of projects and to assess the costs, risks, and returns of running these projects in relation to how they match with organizational goals. Simply put, project management is about doing the project right, project portfolio management is about doing the right projects.\r\n<span style=\"font-weight: bold;\">What Problems Can Project Portfolio Management Address?</span>\r\nProject Portfolio Management helps companies avoid project overload and work on projects that are not aligned with the ultimate vision. In other words, project portfolio management helps companies to work towards their goals without getting sidetracked by too many shiny pennies (ie. projects that appear to be enticing but actually drain their resources for little return).\r\n<span style=\"font-weight: bold;\">How does Project Portfolio Management help with new product development?</span>\r\nProject Portfolio Management supports companies in assessing, evaluating and ranking new product ideas before they become projects, so that time, money and human resources can be spent working on projects that support strategic objectives. This becomes increasingly important and relevant for companies that receive dozens if not hundreds of project proposals.\r\n<span style=\"font-weight: bold;\">What are the key elements of successful portfolio management?</span>\r\nGoals, objectives, governance, approval processes and monitoring portfolio performance.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Project_and_Portfolio_Management.png"},{"id":359,"title":"Order Management","alias":"order-management","description":" Order management is the administration of business processes related to orders for goods or services. Order management is the order-to-cash sales process that sits at the heart of any goods-based B2C and B2B company. Put simply, it’s the end-to-end cycle of receiving and processing a customer order through to fulfillment. \r\nOrder management is not conducted in isolation; it relies upon almost every department in a company: from a customer service team to the warehouse staff, the accounting department through to delivery partners. When mastered effectively, order management ensures a business’s workflow runs smoothly by establishing efficient processes to keep it moving forward; maintaining customer satisfaction and protecting a company’s reputation.\r\nOrder management involves a series of interconnected touchpoints and stakeholders who work collaboratively together to enable customers to order the right products, for the right price and receive them at the right time. The order fulfillment system (as it is also known) not only secures that order-to-cash (O2C) processes run smoothly, but also gives businesses the opportunity to build customer profiles and keep track of inventory volume and sales records.\r\nWhen scaling your business, it’s important to automate and streamline this process — otherwise, you’ll eventually be overwhelmed by the sheer number of orders coming in. An ordering system gives you a one-stop shop to view and manage all customer orders in one place.\r\nSome systems offer a two-way sync that makes sure order information is passed between your order management system and your ecommerce platform while providing you with visibility into the entire process. This can help automate the flow of sales order information to every piece of the supply chain. That means you can track the entire journey of a customer order, from the “Buy” button to delivery — and even returns.\r\nOrder processing is the process or work flow from order placement to delivery. This is a key element of order fulfillment, where reliability and accuracy lead to customer satisfaction. Steps in order processing include picking, sorting, tracking and shipping. Order processing can range from manual (hand written on an order log sheet) to highly technological and data driven (through online orders and order processing software) depending on the operation.\r\nIn order to establish a fast-moving, cost-effective and accurate order management cycle, both B2C and B2B companies are choosing to use an integrated and responsive order management system (OMS). The OMS integrates directly with a business’s ERP and is set up to work alongside the human workforce in order to obtain the most productive and profitable order management cycle possible.\r\nAn integrated order management system may encompass these modules:\r\n<ul><li>Product information (descriptions, attributes, locations, quantities)</li><li>Inventory available to promise (ATP) and sourcing</li><li>Vendors, purchasing, and receiving</li><li>Marketing (catalogs, promotions, pricing)</li><li>Customers and prospects</li><li>Order entry and customer service (including returns and refunds)</li><li>Financial processing (credit cards, billing, payment on account)</li><li>Order processing (selection, printing, picking, packing, shipping) </li></ul>","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is OMS software?</span></h1>\r\nAn order management system is a software system that facilitates and manages the execution of trade orders. An order management system is any tool or platform that tracks sales, orders, inventory, and fulfillment as well as enables the people, processes, and partnerships necessary for products to find their way to the customers who bought them. \r\nAn order processing system software should provide one centralized place to manage orders from all sales channels. Centralizing this in one system is critical to delivering a superior customer experience by providing order status, on-time deliveries and meeting customer expectations for buy, fulfill and return anywhere. \r\nThe right solution gives you a foundation for consistent and seamless execution across all customer, financial, inventory and supply chain touch points that drives customer satisfaction, repeat business and long-term loyalty. Additionally, order management systems can improve sales visibility and reduce delays and back orders by giving you a single view of demand, inventory and supply.\r\nAn effective order management system software lets you seamlessly orchestrate the fulfillment of products and services across virtually all your customer touch points. Without a centralized order management system, realizing a comprehensive view of demand, transactions and customers across all channels and fulfillment locations can be extremely difficult.\r\nOrder management software equips you to think beyond the inventory on hand to focus on what's available to promise to your customers. It eliminates costly and rigid inventory segmentation across channels and business units with a single, real-time, consolidated view of inventory across the enterprise, from your suppliers and manufacturing facilities to your warehouse and stores.\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">How to choose the right OMS software?</span></h1>\r\n<ul><li><span style=\"font-weight: bold;\">Define your system objectives and priorities of each.</span> By doing so and discussing with your internal stakeholders, you’ll clearly understand features that are “absolute requirements” vs. ones that are “nice to have.” Don’t forget to factor in scalability and future thinking.</li><li><span style=\"font-weight: bold;\">Draft a request for proposal (RFP)</span>. This will help your team get organized and both you and the vendor(s) understand the technical requirements and limitations of the system you’re hoping to implement. Don’t forget to include order volumes, number of SKUs, current vendor landscape, existing software, hardware, and networks, a timeline for the systems acquisition process, and details on training &amp; enablement.</li><li><span style=\"font-weight: bold;\">Research systems options</span>. It’s unlikely that you’ll find an ideal fit for your business with your first contact (but how amazing would that be), so compile a list of 4-6 vendors to evaluate and reach out to for demos or trails. </li><li><span style=\"font-weight: bold;\">Review trade-offs.</span> It’s unlikely you’ll find a vendor that is a 100% fit and your final selection will be based on a number of trade-off criteria. Feature &amp; function alone shouldn’t be your sole selection criteria as you’ll want to take into account the entirety of the business relationship you’re getting into.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">How do your customers benefit from an online order management system?</span></h1>\r\nAn online ordering software doesn’t just benefit you, though. It also benefits your customers. The system will give them a quick, convenient, and 24/7 way to place orders without having to call or email your staff, or fill out old-fashioned Excel or Word order forms. They'll have instant, online updates on the status of their orders, and they’ll have greater confidence that their orders will arrive on-time and with the correct items. An online order management system also makes your company look more professional in the eyes of your customers.Here are three ways they benefit:\r\n\r\n<ul><li><span style=\"font-weight: bold;\">They can place orders on their schedule.</span> Between managing employees, servicing customers, and marketing their business, most business owners are working on a very tight schedule. Taking the time to call or email your sales staff or meet with a sales rep can be challenging. Using an online product ordering system that allows customers to log on at their convenience and quickly choose the items they want to order goes a long way for customer service. If they place the same order on a regular basis, they can use a reorder feature which duplicates previous orders. The whole process takes a matter of seconds. So alleviate this challenge by implementing a system that allows your customers to place an order anytime.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">They can check their order status at any time.</span> One of the biggest challenges a business faces is managing their inventory. On one hand, they want to have enough inventory available to service their customers. On the other hand, they don’t want to have inventory piling up on their shelves. There’s a critical need to know with confidence when inventory will arrive.</li></ul>\r\n\r\n<ul><li> <span style=\"font-weight: bold;\">They have a higher probability of receiving the correct order in a timely manner. </span>Nothing will erode your customers' trust more than making errors on their shipments and invoices. If it happens once, that may be forgiven as a simple mistake. However, if it happens repeatedly, your customer is likely to start looking for alternative options. An online order management system with warehouse integration can send the order directly to your third party warehouse. This reduces the probability that an error will be made. The less people who handle the order information, the lower the likelihood for human error.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Order_Management.png"},{"id":357,"title":"Procurement","alias":"procurement","description":" Procurement is the process of finding and agreeing to terms, and acquiring goods, services, or works from an external source, often via a tendering or competitive bidding process.\r\nProcurement generally involves making buying decisions under conditions of scarcity. If sound data is available, it is good practice to make use of economic analysis methods such as cost-benefit analysis or cost-utility analysis.\r\nProcurement is used to ensure the buyer receives goods, services, or works at the best possible price when aspects such as quality, quantity, time, and location are compared. Corporations and public bodies often define processes intended to promote fair and open competition for their business while minimizing risks such as exposure to fraud and collusion.\r\nAlmost all purchasing decisions include factors such as delivery and handling, marginal benefit, and price fluctuations.\r\nAn important distinction should be made between analyses without risk and those with risk. Where risk is involved, either in the costs or the benefits, the concept of best value should be employed.\r\nProcurement activities are also often split into two distinct categories, direct and indirect spend. Direct spend refers to the production-related procurement that encompasses all items that are part of finished products, such as raw material, components and parts. Direct procurement, which is the focus in supply chain management, directly affects the production process of manufacturing firms. In contrast, indirect procurement concerns non-production-related acquisition: obtaining &quot;operating resources&quot; which a company purchases to enable its operations. Indirect procurement comprises a wide variety of goods and services, from standardized items like office supplies and machine lubricants to complex and costly products and services like heavy equipment, consulting services, and outsourcing services.\r\nProcurement software (often labeled as e-procurement software) manages the purchasing processes electronically or via cloud computing.","materialsDescription":" <span style=\"font-weight: bold; \">What is Procurement?</span>\r\nProcurement is, quite simply, the act of acquiring goods and/or services through a tendering, or competitive bid, process. This is where the Buyer will release a ‘contract notice’ through an electronic portal (known as e-tendering, or e-procurement software) detailing:\r\n<ul><li>The contract title and description of goods/services required.</li><li>A Specification, and/or Scope of Works.</li><li>The approximate contract value/budget.</li><li>The length of delivery required.</li><li>The location of delivery.</li><li>Details surrounding the timetable for the tendering process, including the submission deadline, site visit dates, and clarification deadlines.</li><li>The tendering documents to be completed (such as SQ / PQQ documents, ITT documents, RFPs or RFQs).</li></ul>\r\nSuppliers (of goods and/or services) will then put together a tender response in line with the provided guidelines and submit them through the provided medium. The Buyer will then assess all of the responses against the evaluation criteria they have chosen and, ultimately, a supplier will be awarded the Contract.\r\n<span style=\"font-weight: bold; \">How is Procurement different from Purchasing?</span>\r\nThe distinction between Procurement and Purchasing can be confusing if you are new to the process, as it is common to hear the terms being used interchangeably. However, in this instance the difference between Procurement and Purchasing is this:\r\nProcurement is the umbrella term for the entire process of sourcing, selecting and acquiring goods or services, from conception to conclusion.\r\nPurchasing is just one small part of the procurement process (the acquisition) and does not cover the other stages, such as the creation of the specification of works, management of the procurement process, bidding/tendering, evaluation/vetting or agreement of terms.\r\n<span style=\"font-weight: bold; \">Why is Procurement Important?</span>\r\nProcurement is an important, democratic process (when done correctly!) which is especially important to businesses for the following reasons:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It can save you money.</span></span> The procurement process will allow you the best chance to find a supplier (or, suppliers) who most closely matches your needs and requirements, whilst offering the best value for money. Most often, Buyers will evaluate tenders through the MEAT method (Most Economically Advantageous Tender) which involves scoring the cost the supplier has provided, scoring their quality responses and then conflating the two scores to award an overall total mark. The Supplier with the best overall mark is, therefore, the provider of the Most Economically Advantageous Tender.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It widens the scope of your options.</span></span> As well as allowing the Buyer to find a Supplier who will offer the best value for money, the Procurement process enables Buyers to receive tenders from potential Suppliers across the country, who may offer experience and added value that local Suppliers do not, or cannot. Essentially, the Procurement process levels the playing field and allows the Buyer a better opportunity to gauge the suitability of multiple Suppliers.\r\n<span style=\"font-weight: bold;\">How could Procurement benefit your business?</span>\r\nProcurement specialists are available to advise on specifics relevant to your particular industry and business, but broadly speaking there are several reasons why breaking into Procurement could revolutionize the way you source and acquire goods and services:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">It streamlines the workload.</span></span> If you require a new Supplier to provide an ongoing service, let’s say for 3 years, then you want to be absolutely sure that you are getting the best possible Supplier, and that they will definitely meet all of your requirements. It would be a poor use of staffing resources to dedicate personnel to researching and contacting potential businesses, which could take an inordinate amount of time and still not result in finding a Supplier that meets your requirements. By going through the Procurement process, you can streamline that normally weighty task through following these simple steps:\r\n<ul><li>Identify the need (what service/goods does your business require?).</li><li>Authorize the decision to find a Supplier who can address this need.</li><li>Establish the parameters of the proposed contract (budget/value, duration, essential vs. desirable requirements, etc).</li><li>Create the tender documentation (including the Specification / Scope of Works, Supplier Questionnaire, Instructions to Tenderers, Pricing document, etc).</li><li>Publish the tender through the public Procurement Portal of your choosing.</li><li>Evaluate the tender submissions against your chosen criteria.</li><li>Award the contract to your chosen Supplier.</li></ul>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Ensures accountability.</span></span> When you release a detailed contract notice, with corresponding tender documents, that explicitly states your requirements and the standards that the potential Supplier needs to meet (such as minimum annual turnover, compliance with industry-specific standards and evidence of previous experience) companies can then be held fully accountable for ensuring that they meet these requirements before submitting their responses.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Prevent corruption.</span></span> By having Suppliers fill out a Supplier Questionnaire you can screen companies for information such as breaches of lawful, environmental or health and safety obligations. Additionally, you can request evidence (in the form of financial records) that they will not pose a financial risk to your operation and are capable of delivering the service. In order to pass the Supplier Questionnaire, Suppliers are required to self-certify that they meet all necessary requirements, and can be held fully accountable if this is not the case.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Procurement.png"},{"id":351,"title":"Financial Accounting Applications","alias":"financial-accounting-applications","description":" Financial accounting (or financial accountancy) is the field of accounting concerned with the summary, analysis and reporting of financial transactions related to business. This involves the preparation of financial statements available for public use. Stockholders, suppliers, banks, employees, government agencies, business owners, and other stakeholders are examples of people interested in receiving such information for decision-making purposes.\r\nFinancial accountancy is governed by both local and international accounting standards. Generally Accepted Accounting Principles (GAAP) is the standard framework of guidelines for financial accounting used in any given jurisdiction. It includes the standards, conventions and rules that accountants follow in recording and summarizing and in the preparation of financial statements.\r\nOn the other hand, International Financial Reporting Standards (IFRS) is a set of passionate accounting standards stating how particular types of transactions and other events should be reported in financial statements. IFRS are issued by the International Accounting Standards Board (IASB). With IFRS becoming more widespread on the international scene, consistency in financial reporting has become more prevalent between global organizations.\r\nWhile financial accounting is used to prepare accounting information for people outside the organization or not involved in the day-to-day running of the company, managerial accounting provides accounting information to help managers make decisions to manage the business.","materialsDescription":" <span style=\"font-weight: bold;\">What is accounting?</span>\r\nAccounting is the recording of financial transactions along with storing, sorting, retrieving, summarizing, and presenting the results in various reports and analyses. Accounting is also a field of study and profession dedicated to carrying out those tasks.\r\n<span style=\"font-weight: bold;\">What are the examples of Financial Accounting?</span>\r\nOne part of accounting focuses on presenting the financial information in the form of general-purpose financial statements (balance sheet, income statement, etc.) that are distributed to people outside of the company. These external reports must be prepared in accordance with generally accepted accounting principles often referred to as GAAP or US GAAP.\r\n<span style=\"font-weight: bold;\">What is the difference between financial accounting and management accounting?</span>\r\nFinancial accounting has its focus on the financial statements which are distributed to stockholders, lenders, financial analysts, and others outside of a corporation or other organization. Because of the many users, the financial statements must comply with the generally accepted accounting principles, known as GAAP or US GAAP.<br />Managerial accounting is focused on assisting management in the operation of the company. This will include analyzing a company's costs, assisting in financial decisions, profit planning, calculating break-even points, capital budgeting, and calculating the costs of existing products in order to value the company's inventory and to determine the cost of goods sold (both to be used on the financial statements).","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Financial_Accounting_Applications.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"http://www.rbcgrp.com/rekomendatelnie-pisma/Amper.pdf","title":"Supplier's web site"}},"comments":[],"referencesCount":0},{"id":499,"title":"Qlik Sense for agro-industrial holding","description":"Description is not ready yet","alias":"qlik-sense-for-agro-industrial-holding","roi":0,"seo":{"title":"Qlik Sense for agro-industrial holding","keywords":"","description":"Description is not ready yet","og:title":"Qlik Sense for agro-industrial holding","og:description":"Description is not ready yet"},"deal_info":"","user":{"id":493,"title":"Mironivsky Hliboproduct","logoURL":"https://old.roi4cio.com/uploads/roi/company/Mironivsky_Hliboproduct_logo.jpg","alias":"mironivsky-hliboproduct","address":"","roles":[],"description":" The Mironivsky Hliboproduct is the Ukraine's largest agricultural produce company, based in the small city of Myronivka, Kiev Oblast (hence its name), with over 50% of the country's &quot;industrially produced poultry&quot;.\r\nThe CEO is billionaire Yuriy Kosiuk.\r\nAmong its better known brands is its chicken &quot;Nasha Ryaba&quot; (Our Ryaba, which is a traditional name of a chicken in East Slavic fairy tales) which is produced at Myronivka chicken farm in Stepantsi village, Kaniv Raion, Cherkasy Oblast. International brands include &quot;Qualiko&quot;, &quot;Ukrainian chicken&quot;, &quot;Assilah&quot;, &quot;Sultanah&quot;, and &quot;Chateau Galicia&quot;.\r\nMHP posted net profit in 2017 was $230 million, which was 3.3 times up from 2016.\r\nIn July 2019, the Serbian Commission for Protection of Competition has allowed Myronivsky Hliboproduct (MHP) to acquire Perutnina Ptuj (Slovenia).\r\nSource: https://en.wikipedia.org/wiki/Mironivsky_Hliboproduct","companyTypes":[],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":1,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.mhp.com.ua/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Mironivsky Hliboproduct","keywords":"Наша, хлебопродукт, Мироновский, Дружба, Народов, Бащинский, Европродукт, известной","description":" The Mironivsky Hliboproduct is the Ukraine's largest agricultural produce company, based in the small city of Myronivka, Kiev Oblast (hence its name), with over 50% of the country's &quot;industrially produced poultry&quot;.\r\nThe CEO is billionaire Yuriy Kosi","og:title":"Mironivsky Hliboproduct","og:description":" The Mironivsky Hliboproduct is the Ukraine's largest agricultural produce company, based in the small city of Myronivka, Kiev Oblast (hence its name), with over 50% of the country's &quot;industrially produced poultry&quot;.\r\nThe CEO is billionaire Yuriy Kosi","og:image":"https://old.roi4cio.com/uploads/roi/company/Mironivsky_Hliboproduct_logo.jpg"},"eventUrl":""},"supplier":{"id":1632,"title":"RBC Group","logoURL":"https://old.roi4cio.com/uploads/roi/company/RBC_Group.gif","alias":"rbc-group","address":"","roles":[],"description":"RBC Group - one of the leading consulting companies in the CIS. Our consultants provide solutions successfully operating on the business management based on ERP and BI.\r\nThe basis of our relationship with our customers - long-term cooperation in the field of implementation, support and development of modern enterprise management systems.\r\nOur mission - realization of the unique competitive advantage of our customers using modern approaches to business management based on the best-in-class information systems.\r\nThe main activities of RBC Group - is:\r\n<ul><li>Provision of consultancy services for implementation and training services.</li><li>Supply replicable enterprise information management systems of the world leaders in this area, as well as its own methodological developments.</li><li>Implementation support embedded solutions and management systems.</li></ul>\r\nRBC Group company is a partner of the world's leading providers of software solutions and has the right to license the sale, implementation and support of products the QlikView , Qlik of Sense , of Infor the LN of ERP (the BAAN), Cargowise the One , the HRB Portal, .\r\nRBC Group is a partner Qlik with Master Reseller status.\r\nRBC Group also certified WiseBusiness Partner and WiseService Partner Product Sargowise One.\r\nRBC Group company became a co-founder of the Alliance Expert Business Intelligence BIExALL, QlikView community from around the world's most experienced partners.\r\nRBC Group founded on the principle of a professional partnership and managed by a Board of Partners.\r\nWe invite you to learn more about the RBC Group and ask any questions as to how we can do for you by contacting the specified contacts .","companyTypes":[],"products":{},"vendoredProductsCount":3,"suppliedProductsCount":108,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":15,"vendorImplementationsCount":0,"vendorPartnersCount":3,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.rbcgrp.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"RBC Group","keywords":"Group, management, systems, world, implementation, support, solutions, Partner","description":"RBC Group - one of the leading consulting companies in the CIS. 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Its PC-based desktop tool was called QuikView. &quot;Quik&quot; stood for &quot;Quality, Understanding, Interaction, Knowledge.&quot; Initially the software was sold only in Sweden.\r\n\r\nSource: https://en.wikipedia.org/wiki/Qlik","companyTypes":[],"products":{},"vendoredProductsCount":2,"suppliedProductsCount":2,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":14,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.qlik.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Qlik","keywords":"Qlik, software, business, Sweden, intelligence, company, QlikView, Quality","description":"Qlik is a software company based in Radnor, Pennsylvania, United States. 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A free data visualization tool that anyone can use on a personal computer.\r\n\r\nQlik Sense Enterprise\r\nFor enterprises\r\nVisualize data, build custom apps, embed visuals and support the entire spectrum of enterprise-level uses. Now there are no limits.\r\nQlik Sense Cloud\r\nSecure hosting\r\nInteract with Qlik Sense apps whenever the need arises. Invite others to do the same in a secure environment.\r\nIntuitive\r\nUse simple drag-and-drop interfaces to create flexible, interactive data visualizations. Explore data with smart visualizations that automatically adapts to the parameters you set — no need for developers, data scientists or designers.\r\nSmart Search\r\nUse natural search to navigate complex information to accelerate discovery\r\nSelf-service creation\r\nDrag-and-drop to create your own visualizations — without scripting, complex SQL queries, or joins\r\nCentralized management\r\nFind and share relevant analyses, including apps and stories, through a centralized hub\r\nData integration\r\nUnify data sources for a complete view of information, without gaps, and make it easier to discover hidden insights\r\nBeautiful\r\nEasily engage, understand, communicate, collaborate and share data to any device with eye-catching, ready-to-use visualizations\r\nSmart, interactive visualizations\r\nBeautiful out-of-the-box visualizations instantly respond to interactions and changes in context\r\nData storytelling\r\nAllows you to share multiple points of view — with the ability to dive back into source analysis at any point\r\nResponsive design\r\nAccess on any device, anytime, anywhere\r\nCustomize and extend\r\nOpen APIs allow developers to rapidly customize, extend and embed Qlik Sense in new applications to address unique business needs\r\nEasy to start, easy to grow\r\nTurn your team into creators. Maximize their skills and experience by letting them focus on the things they are best at — not on setting up data.\r\nQuick, Smart Data Load\r\nGraphical, wizard-based functionality supports multiple data sources and multiple file types\r\nPredefined, shared visualization library\r\nTake advantage of data models, apps, dashboards and stories created by teammates\r\nSecure\r\nFlexible security for data and content across all devices\r\nEnterprise scalability\r\nThe advantages of self-service discovery with secure, enterprise-level governance of data and analytics","shortDescription":"Qlik Sense® self-service visualization\r\nDrive insight discovery with the data visualization app that anyone can use. With Qlik Sense, everyone in your organization can easily create flexible, interactive visualizations and make meaningful decisions.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":10,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Qlik Sense","keywords":"data, Qlik, Sense, visualizations, with, apps, Data, share","description":"Editions\r\nQlik Sense Desktop\r\nFor individuals\r\nImport your own data and experience the power of Qlik Sense. A free data visualization tool that anyone can use on a personal computer.\r\n\r\nQlik Sense Enterprise\r\nFor enterprises\r\nVisualize data, build custom apps,","og:title":"Qlik Sense","og:description":"Editions\r\nQlik Sense Desktop\r\nFor individuals\r\nImport your own data and experience the power of Qlik Sense. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":356,"title":"High costs of routine operations"},{"id":370,"title":"No automated business processes"},{"id":376,"title":"Unstructured data"}]}},"categories":[{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. 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Our consultants provide solutions successfully operating on the business management based on ERP and BI.\r\nThe basis of our relationship with our customers - long-term cooperation in the field of implementation, support and development of modern enterprise management systems.\r\nOur mission - realization of the unique competitive advantage of our customers using modern approaches to business management based on the best-in-class information systems.\r\nThe main activities of RBC Group - is:\r\n<ul><li>Provision of consultancy services for implementation and training services.</li><li>Supply replicable enterprise information management systems of the world leaders in this area, as well as its own methodological developments.</li><li>Implementation support embedded solutions and management systems.</li></ul>\r\nRBC Group company is a partner of the world's leading providers of software solutions and has the right to license the sale, implementation and support of products the QlikView , Qlik of Sense , of Infor the LN of ERP (the BAAN), Cargowise the One , the HRB Portal, .\r\nRBC Group is a partner Qlik with Master Reseller status.\r\nRBC Group also certified WiseBusiness Partner and WiseService Partner Product Sargowise One.\r\nRBC Group company became a co-founder of the Alliance Expert Business Intelligence BIExALL, QlikView community from around the world's most experienced partners.\r\nRBC Group founded on the principle of a professional partnership and managed by a Board of Partners.\r\nWe invite you to learn more about the RBC Group and ask any questions as to how we can do for you by contacting the specified contacts .","companyTypes":[],"products":{},"vendoredProductsCount":3,"suppliedProductsCount":108,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":15,"vendorImplementationsCount":0,"vendorPartnersCount":3,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.rbcgrp.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"RBC Group","keywords":"Group, management, systems, world, implementation, support, solutions, Partner","description":"RBC Group - one of the leading consulting companies in the CIS. 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A free data visualization tool that anyone can use on a personal computer.\r\n\r\nQlik Sense Enterprise\r\nFor enterprises\r\nVisualize data, build custom apps, embed visuals and support the entire spectrum of enterprise-level uses. Now there are no limits.\r\nQlik Sense Cloud\r\nSecure hosting\r\nInteract with Qlik Sense apps whenever the need arises. Invite others to do the same in a secure environment.\r\nIntuitive\r\nUse simple drag-and-drop interfaces to create flexible, interactive data visualizations. Explore data with smart visualizations that automatically adapts to the parameters you set — no need for developers, data scientists or designers.\r\nSmart Search\r\nUse natural search to navigate complex information to accelerate discovery\r\nSelf-service creation\r\nDrag-and-drop to create your own visualizations — without scripting, complex SQL queries, or joins\r\nCentralized management\r\nFind and share relevant analyses, including apps and stories, through a centralized hub\r\nData integration\r\nUnify data sources for a complete view of information, without gaps, and make it easier to discover hidden insights\r\nBeautiful\r\nEasily engage, understand, communicate, collaborate and share data to any device with eye-catching, ready-to-use visualizations\r\nSmart, interactive visualizations\r\nBeautiful out-of-the-box visualizations instantly respond to interactions and changes in context\r\nData storytelling\r\nAllows you to share multiple points of view — with the ability to dive back into source analysis at any point\r\nResponsive design\r\nAccess on any device, anytime, anywhere\r\nCustomize and extend\r\nOpen APIs allow developers to rapidly customize, extend and embed Qlik Sense in new applications to address unique business needs\r\nEasy to start, easy to grow\r\nTurn your team into creators. Maximize their skills and experience by letting them focus on the things they are best at — not on setting up data.\r\nQuick, Smart Data Load\r\nGraphical, wizard-based functionality supports multiple data sources and multiple file types\r\nPredefined, shared visualization library\r\nTake advantage of data models, apps, dashboards and stories created by teammates\r\nSecure\r\nFlexible security for data and content across all devices\r\nEnterprise scalability\r\nThe advantages of self-service discovery with secure, enterprise-level governance of data and analytics","shortDescription":"Qlik Sense® self-service visualization\r\nDrive insight discovery with the data visualization app that anyone can use. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":370,"title":"No automated business processes"},{"id":376,"title":"Unstructured data"},{"id":400,"title":"High costs"}]}},"categories":[{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Our consultants provide solutions successfully operating on the business management based on ERP and BI.\r\nThe basis of our relationship with our customers - long-term cooperation in the field of implementation, support and development of modern enterprise management systems.\r\nOur mission - realization of the unique competitive advantage of our customers using modern approaches to business management based on the best-in-class information systems.\r\nThe main activities of RBC Group - is:\r\n<ul><li>Provision of consultancy services for implementation and training services.</li><li>Supply replicable enterprise information management systems of the world leaders in this area, as well as its own methodological developments.</li><li>Implementation support embedded solutions and management systems.</li></ul>\r\nRBC Group company is a partner of the world's leading providers of software solutions and has the right to license the sale, implementation and support of products the QlikView , Qlik of Sense , of Infor the LN of ERP (the BAAN), Cargowise the One , the HRB Portal, .\r\nRBC Group is a partner Qlik with Master Reseller status.\r\nRBC Group also certified WiseBusiness Partner and WiseService Partner Product Sargowise One.\r\nRBC Group company became a co-founder of the Alliance Expert Business Intelligence BIExALL, QlikView community from around the world's most experienced partners.\r\nRBC Group founded on the principle of a professional partnership and managed by a Board of Partners.\r\nWe invite you to learn more about the RBC Group and ask any questions as to how we can do for you by contacting the specified contacts .","companyTypes":[],"products":{},"vendoredProductsCount":3,"suppliedProductsCount":108,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":15,"vendorImplementationsCount":0,"vendorPartnersCount":3,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.rbcgrp.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"RBC Group","keywords":"Group, management, systems, world, implementation, support, solutions, Partner","description":"RBC Group - one of the leading consulting companies in the CIS. 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A free data visualization tool that anyone can use on a personal computer.\r\n\r\nQlik Sense Enterprise\r\nFor enterprises\r\nVisualize data, build custom apps, embed visuals and support the entire spectrum of enterprise-level uses. Now there are no limits.\r\nQlik Sense Cloud\r\nSecure hosting\r\nInteract with Qlik Sense apps whenever the need arises. Invite others to do the same in a secure environment.\r\nIntuitive\r\nUse simple drag-and-drop interfaces to create flexible, interactive data visualizations. Explore data with smart visualizations that automatically adapts to the parameters you set — no need for developers, data scientists or designers.\r\nSmart Search\r\nUse natural search to navigate complex information to accelerate discovery\r\nSelf-service creation\r\nDrag-and-drop to create your own visualizations — without scripting, complex SQL queries, or joins\r\nCentralized management\r\nFind and share relevant analyses, including apps and stories, through a centralized hub\r\nData integration\r\nUnify data sources for a complete view of information, without gaps, and make it easier to discover hidden insights\r\nBeautiful\r\nEasily engage, understand, communicate, collaborate and share data to any device with eye-catching, ready-to-use visualizations\r\nSmart, interactive visualizations\r\nBeautiful out-of-the-box visualizations instantly respond to interactions and changes in context\r\nData storytelling\r\nAllows you to share multiple points of view — with the ability to dive back into source analysis at any point\r\nResponsive design\r\nAccess on any device, anytime, anywhere\r\nCustomize and extend\r\nOpen APIs allow developers to rapidly customize, extend and embed Qlik Sense in new applications to address unique business needs\r\nEasy to start, easy to grow\r\nTurn your team into creators. Maximize their skills and experience by letting them focus on the things they are best at — not on setting up data.\r\nQuick, Smart Data Load\r\nGraphical, wizard-based functionality supports multiple data sources and multiple file types\r\nPredefined, shared visualization library\r\nTake advantage of data models, apps, dashboards and stories created by teammates\r\nSecure\r\nFlexible security for data and content across all devices\r\nEnterprise scalability\r\nThe advantages of self-service discovery with secure, enterprise-level governance of data and analytics","shortDescription":"Qlik Sense® self-service visualization\r\nDrive insight discovery with the data visualization app that anyone can use. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Now there are no limits.\r\nQlik Sense Cloud\r\nSecure hosting\r\nInteract with Qlik Sense apps whenever the need arises. Invite others to do the same in a secure environment.\r\nIntuitive\r\nUse simple drag-and-drop interfaces to create flexible, interactive data visualizations. Explore data with smart visualizations that automatically adapts to the parameters you set — no need for developers, data scientists or designers.\r\nSmart Search\r\nUse natural search to navigate complex information to accelerate discovery\r\nSelf-service creation\r\nDrag-and-drop to create your own visualizations — without scripting, complex SQL queries, or joins\r\nCentralized management\r\nFind and share relevant analyses, including apps and stories, through a centralized hub\r\nData integration\r\nUnify data sources for a complete view of information, without gaps, and make it easier to discover hidden insights\r\nBeautiful\r\nEasily engage, understand, communicate, collaborate and share data to any device with eye-catching, ready-to-use visualizations\r\nSmart, interactive visualizations\r\nBeautiful out-of-the-box visualizations instantly respond to interactions and changes in context\r\nData storytelling\r\nAllows you to share multiple points of view — with the ability to dive back into source analysis at any point\r\nResponsive design\r\nAccess on any device, anytime, anywhere\r\nCustomize and extend\r\nOpen APIs allow developers to rapidly customize, extend and embed Qlik Sense in new applications to address unique business needs\r\nEasy to start, easy to grow\r\nTurn your team into creators. Maximize their skills and experience by letting them focus on the things they are best at — not on setting up data.\r\nQuick, Smart Data Load\r\nGraphical, wizard-based functionality supports multiple data sources and multiple file types\r\nPredefined, shared visualization library\r\nTake advantage of data models, apps, dashboards and stories created by teammates\r\nSecure\r\nFlexible security for data and content across all devices\r\nEnterprise scalability\r\nThe advantages of self-service discovery with secure, enterprise-level governance of data and analytics","shortDescription":"Qlik Sense® self-service visualization\r\nDrive insight discovery with the data visualization app that anyone can use. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Improve IT service support and delivery processes across the complete lifecycle leveraging ITIL® industry best practices.\r\nBig Data Intelligence\r\nAutomated and Social Self-service\r\nBest Practices\r\nAgile and Automated Change Management\r\nMobile Phone and Tablet Support\r\nReduce ITSM Costs with a Smarter Service Desk\r\nHelp your service desk agents and IT managers proactively manage service quality. 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Store, control, and manage software and infrastructure components to simplify change control and avoid costly service disruptions.\r\nKey Features\r\nReal-time Event Discovery - Ensure you are accurately mapping changes in cloud environments with real-time discovery of events with Universal Discovery.&nbsp;\r\nAutomated Discovery\r\nSingle Point of Entry\r\nConfiguration Management\r\nAutomated Services Modeling\r\nIntegrated CMS Solution","shortDescription":"HPE Universal Configuration Management Database (UCMDB) - This comprehensive set of CMDB tools collects, stores, manages, updates, and presents data about software and infrastructure services configuration so you can lower costs and mitigate risk.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":7,"sellingCount":2,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"HPE Universal Configuration Management Database (UCMDB)","keywords":"Management, Configuration, Universal, Database, Discovery, Automated, discovery, UCMDB","description":"HP Universal Configuration Management Database (CMDB) Universal Configuration Management Database (UCMDB)\r\nUse Automated Service Modeling—based on an entry point such as a URL—to invoke top down discovery of your service models. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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The traditional striving of the “Rud” Company for the high standards has resulted in development, implementation and certification of the Ecological Management, Quality and Food Safety Systems. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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Our consultants provide solutions successfully operating on the business management based on ERP and BI.\r\nThe basis of our relationship with our customers - long-term cooperation in the field of implementation, support and development of modern enterprise management systems.\r\nOur mission - realization of the unique competitive advantage of our customers using modern approaches to business management based on the best-in-class information systems.\r\nThe main activities of RBC Group - is:\r\n<ul><li>Provision of consultancy services for implementation and training services.</li><li>Supply replicable enterprise information management systems of the world leaders in this area, as well as its own methodological developments.</li><li>Implementation support embedded solutions and management systems.</li></ul>\r\nRBC Group company is a partner of the world's leading providers of software solutions and has the right to license the sale, implementation and support of products the QlikView , Qlik of Sense , of Infor the LN of ERP (the BAAN), Cargowise the One , the HRB Portal, .\r\nRBC Group is a partner Qlik with Master Reseller status.\r\nRBC Group also certified WiseBusiness Partner and WiseService Partner Product Sargowise One.\r\nRBC Group company became a co-founder of the Alliance Expert Business Intelligence BIExALL, QlikView community from around the world's most experienced partners.\r\nRBC Group founded on the principle of a professional partnership and managed by a Board of Partners.\r\nWe invite you to learn more about the RBC Group and ask any questions as to how we can do for you by contacting the specified contacts .","companyTypes":[],"products":{},"vendoredProductsCount":3,"suppliedProductsCount":108,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":15,"vendorImplementationsCount":0,"vendorPartnersCount":3,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.rbcgrp.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"RBC Group","keywords":"Group, management, systems, world, implementation, support, solutions, Partner","description":"RBC Group - one of the leading consulting companies in the CIS. 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The system develops, implements and supports partners in 1700 and more than 1,800 employees Qlik .\r\n","shortDescription":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":12,"sellingCount":15,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"QlikView","keywords":"QlikView, system, more, data, than, work, world, platform","description":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.\r\nAdvantages of QlikView platform: as associativity, short term i","og:title":"QlikView","og:description":"QlikView is the world's leading business intelligence platform (BI) class Business Discovery, the first and only system that combines the use of associative data model and work with it in memory.\r\nAdvantages of QlikView platform: as associativity, short term i"},"eventUrl":"","translationId":258,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":260,"title":"Generate Business Reports"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":370,"title":"No automated business processes"},{"id":376,"title":"Unstructured data"},{"id":394,"title":"Shortage of information for decision making"},{"id":396,"title":"Low speed of report generation"},{"id":400,"title":"High costs"}]}},"categories":[{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. 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The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. 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Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. 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Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"},{"id":70,"title":"OLAP - online analytical processing","alias":"olap-online-analytical-processing","description":"<span style=\"font-weight: bold; \">OLAP (online analytical processing)</span> is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view. OLAP business intelligence queries often aid in trends analysis, financial reporting, sales forecasting, budgeting and other planning purposes.\r\nTo facilitate this kind of analysis, data is collected from multiple data sources and stored in data warehouses then cleansed and organized into <span style=\"font-weight: bold; \">data cubes.</span> Each OLAP cube contains data categorized by dimensions (such as customers, geographic sales region and time period) derived by dimensional tables in the data warehouses. Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from &quot;time period&quot; to &quot;years&quot; and &quot;months&quot; to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the &quot;measure&quot;; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: &nbsp; </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or&nbsp; perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. This is a crucial benefit.</li><li>Quickly create and analyze &quot;What if&quot; scenarios</li><li>Easily search OLAP database for broad or specific terms.</li><li>OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools.</li><li>Allows users to do slice and dice cube data all by various dimensions, measures, and filters.</li><li>It is good for analyzing time series.</li><li>Finding some clusters and outliers is easy with OLAP.</li><li> It is a powerful visualization online analytical process system which provides faster response times</li></ul>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Disadvantages</span></p>\r\n<ul><li>OLAP requires organizing data into a star or snowflake schema. These schemas are complicated to implement and administer.</li><li>You cannot have large number of dimensions in a single OLAP cube.</li><li>Transactional data cannot be accessed with OLAP system.</li><li>Any modification in an OLAP cube needs a full update of the cube. This is a time-consuming process.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OLAP_-__online_analytical_processing.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"suppliedProducts":[],"partnershipProgramme":{"levels":[{"id":465,"level":"Implementing and Consulting"},{"id":467,"level":"OEM Partners"},{"id":469,"level":"Expertise Partners"},{"id":471,"level":"Authorized training partners"},{"id":473,"level":"OEM Partners"}],"partnerDiscounts":{"Implementing and Consulting":"","OEM Partners":"","Expertise Partners":"","Authorized training partners":""},"registeredDiscounts":{"Implementing and Consulting":"","OEM Partners":"","Expertise Partners":"","Authorized training partners":""},"additionalBenefits":[],"salesPlan":{"Implementing and Consulting":"","OEM Partners":"","Expertise Partners":"","Authorized training partners":""},"additionalRequirements":[]}}},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"implementations":{"implementationsByAlias":{},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}