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Seamlessly migrates workloads to the cloud based on your requirements, without the need for application rewrites.\r\n<span style=\"font-weight: bold;\">Key features</span>\r\n<ul><li>Built-in tools for data scientists</li><li>Embedded Spark processing with machine learning</li><li>Common SQL engine</li><li>Cloud-ready with scalable deployment</li><li>High-speed architecture</li><li>Easy to manage and maintain</li></ul>","shortDescription":"IBM® Integrated Analytics System drives the insights needed to maintain your competitiveness. It matches accelerated development and deployment times for your data scientists with a high performance, optimized and cloud-ready data platform.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":20,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IBM Integrated Analytics System","keywords":"data, with, enables, analytics, system, Data, your, learning","description":"<span style=\"font-weight: bold;\">High-performance analytics</span>\r\nEasy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes.\r\n<span style=\"font-weight: bold","og:title":"IBM Integrated Analytics System","og:description":"<span style=\"font-weight: bold;\">High-performance analytics</span>\r\nEasy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes.\r\n<span style=\"font-weight: bold","og:image":"https://old.roi4cio.com/fileadmin/user_upload/IBM_R__Integrated_Analytics_System.jpg"},"eventUrl":"","translationId":1093,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","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 "time period" to "years" and "months" 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 "measure"; 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: </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 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 "What if" 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":51,"title":"PaaS - Platform as a service","alias":"paas-platform-as-a-service","description":"<span style=\"font-weight: bold; \">Platform as a Service (PaaS)</span> or <span style=\"font-weight: bold; \">Application Platform as a Service (aPaaS)</span> or <span style=\"font-weight: bold; \">platform-based service</span> is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app.\r\n<span style=\"font-weight: bold; \">PaaS can be delivered in three ways:</span>\r\n<span style=\"font-weight: bold;\">As a public cloud service</span> from a provider, where the consumer controls software deployment with minimal configuration options, and the provider provides the networks, servers, storage, operating system (OS), middleware (e.g. Java runtime, .NET runtime, integration, etc.), database and other services to host the consumer's application.\r\n<span style=\"font-weight: bold;\">As a private service</span> (software or appliance) behind a firewall.\r\n<span style=\"font-weight: bold;\">As software</span> deployed on a public infrastructure as a service.\r\n<span style=\"color: rgb(97, 97, 97); \">The original intent of PaaS technology was to simplify the code-writing process for developers, with the infrastructure and operations handled by the PaaS provider. Originally, all PaaSes were in the public cloud. Because many companies did not want to have everything in the public cloud, private and hybrid PaaS options (managed by internal IT departments) were created.</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS provides an environment for developers and companies to create, host and deploy applications, saving developers from the complexities of the infrastructure side (setting up, configuring and managing elements such as servers and databases).</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS products can improve the speed of developing an app, and allow the consumer to focus on the application itself. With PaaS, the consumer manages applications and data, while the provider (in public PaaS) or IT department (in private PaaS) manages runtime, middleware, operating system, virtualization, servers, storage and networking.</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS offerings may also include facilities for application design, application development, testing and deployment, as well as services such as team collaboration, web service integration, and marshalling, database integration, security, scalability, storage, persistence, state management, application versioning, application instrumentation, and developer community facilitation. Besides the service engineering aspects, PaaS solutions include mechanisms for service management, such as monitoring, workflow management, discovery and reservation.</span>\r\nThere are various types of PaaS providers. All offer application hosting and a deployment environment, along with various integrated services. Services offer varying levels of scalability and maintenance. Developers can write an application and upload it to a PaaS platform that supports their software language of choice, and the application runs on that PaaS.","materialsDescription":"<h1 class=\"align-center\">How PaaS works</h1>\r\n<p class=\"align-left\">PaaS does not replace a company's entire IT infrastructure for software development. It is provided through a cloud service provider's hosted infrastructure with users most frequently accessing the offerings through a web browser. PaaS can be delivered through public, private and hybrid clouds to deliver services such as application hosting and Java development.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Other PaaS services include:</span></p>\r\n<ul><li>Development team collaboration</li><li>Application design and development</li><li>Application testing and deployment</li><li>Web service integration</li><li>Information security</li><li>Database integration</li></ul>\r\n<p class=\"align-left\">Users pay for PaaS on a per-use basis. However, different platform as a service providers charge a flat monthly fee for access to the platform and its applications.</p>\r\n<h1 class=\"align-center\">What are the types of PaaS?</h1>\r\n<ul><li><span style=\"font-weight: bold; \">Public PaaS</span></li></ul>\r\nA public PaaS allows the user to control software deployment while the cloud provider manages the delivery of all other major IT components necessary to the hosting of applications, including operating systems, databases, servers and storage system networks. \r\nPublic PaaS vendors offer middleware that enables developers to set up, configure and control servers and databases without the necessity of setting up the infrastructure side of things. As a result, public PaaS and IaaS (infrastructure as a service) run together, with PaaS operating on top of a vendor's IaaS infrastructure while leveraging the public cloud. \r\n<ul><li><span style=\"font-weight: bold; \">Private PaaS</span></li></ul>\r\nA private PaaS is usually delivered as an appliance or software within the user's firewall which is frequently maintained in the company's on-premises data center. A private PaaS software can be developed on any type of infrastructure and can work within the company's specific private cloud. Private PaaS allows an organization to better serve developers, improve the use of internal resources and reduce the costly cloud sprawl that many companies face.\r\n<ul><li><span style=\"font-weight: bold; \">Hybrid PaaS </span></li></ul>\r\nCombines public PaaS and private PaaS to provide companies with the flexibility of infinite capacity provided by a public PaaS model and the cost efficiencies of owning an internal infrastructure in private PaaS. Hybrid PaaS utilizes a hybrid cloud.\r\n<ul><li><span style=\"font-weight: bold; \">Communication PaaS </span></li></ul>\r\nCPaaS is a cloud-based platform that allows developers to add real-time communications to their apps without the need for back-end infrastructure and interfaces. Normally, real-time communications occur in apps that are built specifically for these functions. Examples include Skype, FaceTime, WhatsApp and the traditional phone. CPaaS provides a complete development framework for the creation of real-time communications features without the necessity of a developer building their own framework.\r\n<ul><li><span style=\"font-weight: bold; \">Mobile PaaS</span> </li></ul>\r\nMPaaS is the use of a paid integrated development environment for the configuration of mobile apps. In an mPaaS, coding skills are not required. MPaaS is delivered through a web browser and typically supports public cloud, private cloud and on-premises storage. The service is usually leased with pricing per month, varying according to the number of included devices and supported features.\r\n<ul><li><span style=\"font-weight: bold; \">Open PaaS</span></li></ul>\r\nIt is a free, open source, business-oriented collaboration platform that is attractive on all devices and provides useful web apps, including calendar, contacts and mail applications. OpenPaaS was designed to allow users to quickly deploy new applications with the goal of developing a PaaS technology that is committed to enterprise collaborative applications, specifically those deployed on hybrid clouds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/PaaS_-_Platform_as_a_service.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"omanalyticsr":{"id":1080,"logoURL":"https://old.roi4cio.com/fileadmin/content/omAnalytics_03.png","logo":true,"scheme":false,"title":"omAnalytics®","vendorVerified":0,"rating":"0.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"omanalyticsr","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"<p>Возможности omAnalytics</p>\r\n<p>Глубокий анализ разговоров клиентов с DiaManT® и живыми агентами, чтобы обеспечить понимание «что» именно говорят клиенты. Просмотрите концептуальное отображение понятий и слов, которые говорят клиенты. Щелкнув ссылку, можно получить развернутую картинку , что сказал клиент.</p>\r\n<ul>\r\n<li>Обнаружение частых терминов, фраз и концепций</li>\r\n<li>Поиск разговоров для конкретных продуктов и действий</li>\r\n<li>Быстрое выявление и принятие мер по коренным причинам</li>\r\n<li>Найти любую комбинацию метаданных, слов и фраз</li>\r\n</ul>","shortDescription":"Визуализируйте Big Data, созданные DiaManT®, чтобы анализировать разговоры клиентов с виртуальным агентом, а также с живыми агентами","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":9,"sellingCount":20,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"omAnalytics®","keywords":"слов, клиенты, говорят, фраз, разговоров, конкретных, клиент, сказал","description":"<p>Возможности omAnalytics</p>\r\n<p>Глубокий анализ разговоров клиентов с DiaManT® и живыми агентами, чтобы обеспечить понимание «что» именно говорят клиенты. Просмотрите концептуальное отображение понятий и слов, которые говорят клиенты. ","og:title":"omAnalytics®","og:description":"<p>Возможности omAnalytics</p>\r\n<p>Глубокий анализ разговоров клиентов с DiaManT® и живыми агентами, чтобы обеспечить понимание «что» именно говорят клиенты. Просмотрите концептуальное отображение понятий и слов, которые говорят клиенты. ","og:image":"https://old.roi4cio.com/fileadmin/content/omAnalytics_03.png"},"eventUrl":"","translationId":7050,"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 "time period" to "years" and "months" 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 "measure"; 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: </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 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 "What if" 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":76,"title":"CPM - Corporate Performance Management","alias":"cpm-corporate-performance-management","description":"<span style=\"font-weight: bold; \">Corporate performance management (CPM)</span> is an umbrella term that describes the methodologies, metrics, processes and systems used to monitor and manage the business performance of an enterprise. Applications that enable CPM translate strategically focused information to operational plans and send aggregated results. These applications are also integrated into many elements of the planning and control cycle, or they address BAM or customer relationship optimization needs.\r\nCPM must be supported by a suite of analytical applications that provide the functionality to support these processes, methodologies and metrics.\r\n A CPM system is software that monitors and manages an organization's performance, according to key performance indicators. These can be revenue, return on investment, or other corporate strategic goals, such as increasing operational efficiency or improving corporate strategy.\r\nCorporate performance management system supports financial budgeting, planning and forecasting, and help leaders manage strategy and track the company’s financial health against goals. Corporate performance management tools are commonly used by the finance department, but are increasingly designed to be used across the enterprise. All in all, financial corporate performance management helps CFOs and other leaders maintain a clear picture of organizational performance.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">CPM Software Comparison</span></p>\r\nTo compare different CPM tools, you might want to consider evaluating options based on these factors:\r\n<span style=\"font-weight: bold; \">Finance vs Strategy:</span> Do you care more about strategic planning or financials (such as consolidation and close, reporting, etc)? Financial corporate performance management products rarely do both of these well, so depending on which is your priority, compare tools based on both capabilities. Look at feature ratings for budgeting, planning and forecasting, versus consolidation and close and reporting.\r\n<span style=\"font-weight: bold; \">Deployment type:</span> Corporate performance management solutions may be cloud-based, on-premise, or offer both deployment types.\r\n<span style=\"font-weight: bold; \">Usability:</span> Ease of use is an important factor, even more so if your use of the CPM software will extend beyond the Finance team. Look for comments about usability in pros & cons sections of reviews, and compare how the products rate for usability.\r\n<span style=\"font-weight: bold; \">Reporting:</span> Corporate performance management software is very centered on reporting and the ability to build custom reports. Reviewers often comment on the quality of reporting, and are asked to rate products based on reporting features.\r\n\r\n","materialsDescription":"<h1 class=\"align-center\">Why is CPM important and who is CPM important for?</h1>\r\nRecent studies have shown that strategy execution is the number one area of focus for senior executives today and CPM performance management is a way to help ensure your strategies get executed. By integrating organizational goals, metrics, and projects, your company is aligned around strategic priorities and can focus on the key drivers of the business.\r\nCPM is important for every company, but especially those looking to:\r\n<ul><li>Remodel their budget</li><li>Reduce costs</li><li>Better align KPIs</li><li>Upgrade their organizational strategy</li><li>Improve the financial planning process<span style=\"font-weight: bold; \"></span></li></ul>\r\n<h1 class=\"align-center\">Importance of Corporate Performance Management Software</h1>\r\nIn the era of business management intelligence, it’s important that corporations embrace processes automation. Here are some of the benefits of adopting an enterprise and corporate performance management solution.\r\n<span style=\"font-weight: bold;\">1. Real-time feedback.</span> Performance management software has smart dashboards which contain every measurable metric a management team may need to use in its decision-making. However, the detail is not in the variety. It’s in the ability to read and use data as changes happen in real-time across all parts of the organization. \r\n<span style=\"font-weight: bold;\">2. Data consolidation for easy management.</span> The tools have the intelligence to gather, group, and combine data from multiple sources, be it departments, spreadsheets, or even companies. \r\n<span style=\"font-weight: bold;\">3. Provide ease of risk management.</span> One significant advantage of CPM is the integration of tools like what-if models. For instance, the model empowers managers to mitigate risks and make informed decisions based on the simulation of the best-worst case scenarios. \r\n<span style=\"font-weight: bold;\">4. Provide simple data feedback and access.</span> Performance management tools enable managers to have ease of access to information while still fostering accuracy and quality. \r\n<span style=\"font-weight: bold;\">5. Ease of collaboration.</span> CPM tools are not only locally integrated but also cloud connected to allows all users to stay in sync across all departments.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/CPM_-_Corporate_Performance_Management.png"},{"id":152,"title":"Contact Center","alias":"contact-center","description":"A contact center is a central point from where you can contact.\r\nThe contact center typically includes one or more call centers but may include other types of customer contact, as well. A contact center is generally part of an enterprise's overall customer relationship management (CRM) strategy.<br />Contact centers and call centers are both centers for customer service, and the two terms are often used interchangeably, but a contact center supports more services than a typical call center.\r\nContact centers offer omnichannel customer support, including email, chat, voice over IP (VoIP) and website support. A call center typically uses phones as the main channel of communication and can handle a mass volume of calls.<br />Contact centers are used for inbound communication, outbound communication or a hybrid of both. Contact center agents also interact with customers via web chat, phone, email or other communication channels.\r\nThe contact center infrastructure that is necessary to support communications may be located on the same premises as the contact center, or it can be located externally.\r\nIn an on-premises scenario, the company that owns the contact center also owns and manages its own hardware and software. This requires staffing and IT investments that some companies choose to forgo by outsourcing those tasks to cloud providers or hosting companies.","materialsDescription":" <span style=\"font-weight: bold;\">What is a Call Center?</span>\r\nTraditionally, a call center is an office where a large number of call center agents provide customer service over the telephone. Inbound call centers receive calls for customer support and often serve as a knowledge base for tech support, billing questions, and other customer service issues. These call centers focus on quick call resolution times and agent productivity. In outbound call centers, agents make calls rather than receive them. These could be sales calls, marketing offers, surveys, fundraising requests, or debt collection, for example.\r\nThe term “call center” conjures an image for many people of waiting on perpetual hold or being routed through an endless IVR that never gives them what they need. Because so many consumers have had a dreadful customer service experience along these lines, call centers have developed a bad rap. But as legacy phone systems give way to newer digital technologies, call centers are evolving.\r\n<span style=\"font-weight: bold;\">What is a Contact Center?</span>\r\nThe term "contact center" (or “contact centre”) reflects the modern reality that there are many other ways to connect with a customer these days besides by telephone. The combined trends of increased customer expectations and newer technologies that allow for many channels of communication are creating a shift in the traditional call center model which has existed for decades. Consumers want more ways to reach businesses, and businesses are looking for new ways to improve customer experience.\r\nWhile call center agents generally focus on inbound and outbound calls, either on traditional phone lines or over VoIP, contact center agents handle a wide variety of communications. In a modern multichannel contact center, technical support might be delivered over in-app chat or video, while order status updates are delivered via SMS, event promotions are sent as push notifications, surveys are deployed over Facebook Messenger, and sales inquiries received by email are sent directly to an agent to connect by phone. Call centers handle voice communications, contact centers handle all communications.\r\nA company’s contact center is usually integrated with their customer relationship management (CRM) system, where all interactions between the organization and the public are tracked, coordinated, and managed. Depending on the infrastructure and ecosystem, it could be comprised of an alphabet soup of complex components. Many companies have purchased off-the-shelf systems or a highly customized network of technologies from multiple vendors. Some companies have adopted a cloud-based solution or two, but they remain siloed from the rest of their systems and can’t talk to each other.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Contact_Center1.png"},{"id":82,"title":"Unified Communications","alias":"unified-communications","description":"Unified communications (UC) is a framework for integrating various asynchronous and real-time communication tools. The goal of UC is to enhance business communication, collaboration and productivity. Unified communications do not represent a singular technology; rather, it describes a strategy for integrating interconnected systems of enterprise communication devices and applications that can be used in concert or successively.\r\nSome business communication tools - like Internet Protocol (IP) telephony and video conferencing - facilitate real-time communication, also called synchronous communication. Other enterprise communication tools, like email, facilitate asynchronous communication, which takes place at a person's convenience.\r\nIncreasingly, team collaboration tools have emerged to offer messaging-centric workflows and near-real-time communication. These tools also offer voice and video capabilities, API integrations and, ultimately, expound on instant messaging services by providing better UC features.\r\nThe goal of unified communications is to integrate the software that supports synchronous and asynchronous communication, so the end user has easy access to all tools from whatever device is in use.\r\nA unified communications environment is typically supported by one or more back-end systems, often referred to as UC platforms, that facilitate integration among services, as well as the front-end clients that provide access. For example, a web conferencing system would make use of an audio conferencing system - which, in turn, would be built on an underlying IP telephony platform - and a unified messaging client would allow click-to-talk (CTC), click-to-chat or click-to-video functionality.\r\nUC also supports users moving from one mode of communication to another within the same session. For example, a user may start communicating via email but then decide to escalate the interaction to real-time communication, transitioning the session to a voice call with one click and then to a video conference with another click without any disruption.\r\nUnified communications systems and their components can be deployed on premises, in a public or private cloud, or a combination of all three. Cloud-based unified communications is also called UC as a service (UCaaS). An open source project called WebRTC, for example, enables real-time communications to be embedded into web browsers.\r\nHistorically, single-vendor UC environments have demonstrated the tightest integration and compatibility. Interoperability among vendors remains an ongoing challenge in UC, but it has also been mitigated, in part, by partnerships, common protocols and open APIs.","materialsDescription":" <span style=\"font-weight: bold;\">What technology do unified communications have?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contrasting unified messaging</span></span>\r\nUnified communications are sometimes confused with unified messaging, but it is distinct. Unified communications refer to both real-time and non-real-time delivery of communications based on the preferred method and location of the recipient; unified messaging culls messages from several sources (such as e-mail, voice mail and faxes), but holds those messages only for retrieval at a later time. Unified communications allow for an individual to check and retrieve an e-mail or voice mail from any communication device at any time. It expands beyond voice mail services to data communications and video services.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Components</span></span>\r\nWith unified communications, multiple modes of business communications are integrated. Unified communications is not a single product but a collection of elements that include:\r\n<ul><li>Call control and multimodal communications</li><li>Presence</li><li>Instant messaging</li><li>Unified messaging</li><li>Speech access and personal assistant</li><li>Conferencing (audio, Web and video)</li><li>Collaboration tools</li><li>Mobility</li><li>Business process integration (BPI)</li><li>Software to enable business process integration</li></ul>\r\nPresence — knowing where intended recipients are, and if they are available, in real-time — is a key component of unified communications. Unified communications integrate all systems a user might already use, and helps those systems work together in real-time. For example, unified communications technology could allow a user to seamlessly collaborate with another person on a project, even if the two users are in separate locations. The user could quickly locate the necessary person by accessing an interactive directory, engage in a text messaging session, and then escalate the session to a voice call or even a video call.\r\nIn another example, an employee receives a call from a customer who wants answers. Unified communications enable that employee to call an expert colleague from a real-time list. This way, the employee can answer the customer faster by eliminating rounds of back-and-forth e-mails and phone-tag.\r\nThe examples in the previous paragraph primarily describe "personal productivity" enhancements that tend to benefit the individual user. While such benefits can be important, enterprises are finding that they can achieve even greater impact by using unified communications capabilities to transform business processes. This is achieved by integrating UC functionality directly into the business applications using development tools provided by many of the suppliers. Instead of the individual user invoking the UC functionality to, say, find an appropriate resource, the workflow or process application automatically identifies the resource at the point in the business activity where one is needed.\r\nWhen used in this manner, the concept of presence often changes. Most people associate presence with instant messaging (IM "buddy lists") the status of individuals is identified. But, in many business process applications, what is important is finding someone with a certain skill. In these environments, presence identifies available skills or capabilities.\r\nThis "business process" approach to integrating UC functionality can result in bottom-line benefits that are an order of magnitude greater than those achievable by personal productivity methods alone.\r\n<span style=\"font-weight: bold;\">Related concepts</span>\r\nUnified communications & collaboration (UCC) is the integration of various communications methods with collaboration tools such as virtual white boards, real-time audio and video conferencing, and enhanced call control capabilities. Before this fusion of communications and collaboration tools into a single platform, enterprise collaboration service vendors and enterprise communications service vendors offered distinctly different solutions. Now, collaboration service vendors also offer communications services, and communications service providers have developed collaboration tools.\r\nUnified communications & collaboration as a service (UCCaaS) is cloud-based UCC platforms. Compared to premises-based UCC solutions, UCCaaS platforms offer enhanced flexibility and scalability due to the SaaS subscription model.\r\nUnified communications provisioning is the act of entering and configuring the settings for users of phone systems, instant messaging, telepresence, and other collaboration channels. Provisioners refer to this process as making moves, adds, changes, and deletes or MAC-Ds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Unified_Communications.png"},{"id":186,"title":"VoIP - Voice over Internet Protocol","alias":"voip-voice-over-internet-protocol","description":"<span style=\"font-weight: bold;\">Voice over Internet Protocol </span>(Voice over IP, VoIP) is a methodology and group of technologies for the delivery of voice communications and multimedia sessions over Internet Protocol (IP) networks, such as the Internet. Other terms commonly associated with VoIP solutions are IP telephony, Internet telephony, broadband telephony, and broadband phone service.\r\nThe term Internet telephony specifically refers to the provisioning of communications services (voice, fax, SMS, voice-messaging) over the public Internet, rather than via the public switched telephone network (PSTN). The steps and principles involved in originating VoIP telephone calls are similar to traditional digital telephony and involve signaling, channel setup, digitization of the analog voice signals, and encoding.\r\nInstead of being transmitted over a circuit-switched network, however, the digital information is packetized, and transmission occurs as IP packets over a packet-switched network. Such transmission entails careful considerations about resource management different from time-division multiplexing (TDM) networks.\r\n\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> What are the benefits of VoIP?</h1>\r\n VoIP technology can facilitate tasks and deliver services that might be cumbersome or costly to implement when using traditional PSTN: \r\n<ul><li>More than one phone call can be transmitted on the same broadband phone line. This way, VoIP system can facilitate the addition of telephone lines to businesses without the need for additional physical lines.</li><li>Features that are usually charged extra by telecommunication companies, such as call forwarding, caller ID or automatic redialing, are simple with voice over internet technology.</li><li>Unified Communications are secured with VoIP technology, as it allows integration with other services available on the internet such as video conversation, messaging, etc. </li></ul>\r\n<h1 class=\"align-center\">VoIP programs </h1>\r\nThere are four main types of VoIP technology. Each option has varying levels of complexity which can impact ease of implementation and maintenance.\r\n <span style=\"font-weight: bold;\">Integrated Access</span>\r\nIntegrated access is the VoIP service that most mimics the traditional phone line. With integrated access VoIP, businesses integrate VoIP software and existing, legacy phone systems. This approach lets the business keep its old number and equipment while also gaining access to advanced telecommunications features. \r\n<span style=\"font-weight: bold;\">SIP Trunks</span>\r\n Session Initial Protocol (SIP) transmits voice and video information across a data network, letting VoIP users take advantage of shared lines and increase their communications flexibility. Because all data is sent over a network, businesses can use SIP trunks to replace traditional analog phone networks or use a VoIP gateway to integrate SIP trunking with legacy phone systems. \r\n<span style=\"font-weight: bold;\">Hosted IP PBX</span>\r\n What most people envision when they think of VoIP, this VoIP solution sees a vendor host and operate the private branch exchange, offering unified communications solutions. The business connects to a hosted cloud-based PBX network via its IP network. Phone system hardware is maintained off-site by the hosted IP PBX vendor, and all responsibility for the hardware, software, maintenance, security and upgrades all falls on the hosted PBX provider. \r\n <span style=\"font-weight: bold;\">Managed IP PBX </span>\r\nSimilar to Hosted IP PBX, this version of the unified communication solution is outsourced to a third party that takes care of all management requirements, but instead of phone hardware being off-site, the equipment is housed on-premise by the business. \r\nUnderstanding these different services of VoIP communication can help a business determine the system that best suits its needs. SIP Trunks, for instance, are more attractive to those who want to install their own technology and manage it themselves, while still connecting to VoIP features.\r\n On the other hand, managed IP PBX is a good option for those who don’t have the resources to buy and operate their own VoIP systems. The Hosted IP PBX solution frees the business to select the VoIP management software that works for them and liberates them from the cost and administrative headache of maintaining both voice and data lines and the related carrier partnerships. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/VoIP_-_Voice_over_Internet_Protocol.png"},{"id":750,"title":"Biometric Identification","alias":"biometric-identification","description":"<p itemprop=\"headline\">Biometric systems use people’s intrinsic physical characteristics to verify their identification. The characteristics that can be used by biometric systems include fingerprints, facial identification systems, voice recognition systems and in new developments – the analysis of DNA. Biometric security systems are applied wherever there is a need for personal identification where control of access to material objects or information is required.</p>\r\n<p itemprop=\"headline\" class=\"align-center\"><span style=\"font-weight: bold; \">Types of biometric identification</span></p>\r\n<ul><li><span style=\"font-weight: bold; \">DNA Matching.</span> The identification of an individual using the analysis of segments from DNA.</li><li><span style=\"font-weight: bold; \">Ear.</span> The identification of an individual using the shape of the ear.</li><li><span style=\"font-weight: bold; \">Eyes - Iris Recognition.</span> The use of the features found in the iris to identify an individual.</li><li><span style=\"font-weight: bold; \">Eyes - Retina Recognition.</span> The use of patterns of veins in the back of the eye to accomplish recognition.</li><li><span style=\"font-weight: bold; \">Face Recognition. </span>The analysis of facial features or patterns for the authentication or recognition of an individuals identity. Most face recognition systems either use eigenfaces or local feature analysis.</li><li><span style=\"font-weight: bold; \">Fingerprint Recognition.</span> The use of the ridges and valleys (minutiae) found on the surface tips of a human finger to identify an individual.</li><li><span style=\"font-weight: bold; \">Finger Geometry Recognition.</span> The use of 3D geometry of the finger to determine identity.</li><li><span style=\"font-weight: bold; \">Gait.</span> The use of an individuals walking style or gait to determine identity.</li><li><span style=\"font-weight: bold; \">Odour. </span>The use of an individuals odor to determine identity.</li><li><span style=\"font-weight: bold; \">Hand Geometry Recognition. </span>The use of the geometric features of the hand such as the lengths of fingers and the width of the hand to identify an individual.</li><li><span style=\"font-weight: bold; \">Typing Recognition. </span>The use of the unique characteristics of a persons typing for establishing identity.</li><li><span style=\"font-weight: bold; \">Hand Vein Recognition. </span>Vein recognition is a type of biometrics that can be used to identify individuals based on the vein patterns in the human finger or palm.</li><li><span style=\"font-weight: bold; \">Voice - Speaker Identification. </span>Identification is the task of determining an unknown speaker’s identity. Speaker identification is a 1:N (many) match where the voice is compared against N templates. Speaker identification systems can also be implemented covertly without the user’s knowledge to identify talkers in a discussion, alert automated systems of speaker changes, check if a user is already enrolled in a system, etc.</li><li><span style=\"color: rgb(97, 97, 97); \"><span style=\"font-weight: bold; \">Voice - Speaker Verification/Authentication.</span>The use of the voice as a method of determining the identity of a speaker for access control. If the speaker claims to be of a certain identity and the voice is used to verify this claim. Speaker verification is a 1:1 match where one speaker’s voice is matched to one template (also called a “voice print” or “voice model”). Speaker verification is usually employed as a “gatekeeper” in order to provide access to a secure system (e.g.: telephone banking). These systems operate with the user’s knowledge and typically require their cooperation.</span></li><li> <span style=\"font-weight: bold; \">Signature Recognition.</span> The authentication of an individual by the analysis of handwriting style, in particular the signature. There are two key types of digital handwritten signature authentication, Static and Dynamic. Static is most often a visual comparison between one scanned signature and another scanned signature, or a scanned signature against an ink signature. Technology is available to check two scanned signatures using advances algorithms. Dynamic is becoming more popular as ceremony data is captured along with the X,Y,T and P Coordinates of the signor from the signing device. This data can be utilised in a court of law using digital forensic examination tools, and to create a biometric template from which dynamic signatures can be authenticated either at time of signing or post signing, and as triggers in workflow processes.</li></ul>\r\n<br /><br />","materialsDescription":"<h1 class=\"align-center\"> Biometric Identification or Biometric Authentication?<span style=\"font-weight: bold; \"><br /></span></h1>\r\n<span style=\"font-weight: bold; \">Biometric identification</span> answers the question “who are you” and can be applied to both physical and digital scenarios. It is an established solution that is being used in many applications including law enforcement, defense, and border control.\r\nBiometric identification system usually applies to a situation where an organization needs to identify a person. The organization captures a biometric from that individual and then searches a biometric id system repository in an attempt to correctly identify the person. The biometric repository could be managed by a law enforcement agency, such as the Integrated Automated Fingerprint System (IAFIS) run by the FBI in the USA, or be part of a national identity system like India’s UIDAI system.\r\n<span style=\"font-weight: bold; \">Biometric authentication </span>asks the question “can you prove who you are” and is predominantly related to proof of identity in digital scenarios. A <span style=\"font-size:10pt; font-family:Arial; font-style:normal; \">biometric identity verification</span>system will challenge someone to prove their identity and the person has to respond in order to allow them access to a system or service.\r\nBiometric authentication involves use of a factor that is something a person is – a biometric identifier from a person can include a fingerprint, their voice, face, or even their behavior. This biometric is indexed against other identifiers, such as a user id or employee number, with the identifier being matched against a single stored biometric template – one-to-one match.\r\n<h1 class=\"align-center\">Where is biometric identification technology used?</h1>\r\nHistorically, applications using have been predominantly initiated by authorities for military access control, criminal or civil identification under a tightly regulated legal and technical framework. \r\nToday, sectors, including banking, retail, and mobile commerce, are demonstrating a real appetite for the benefits of biometric identity systems.<br />Most importantly, awareness and acceptance have been boosted in the past seven years, as millions of smartphone users are unlocking their phones with a fingerprint or a face. The most typical use cases of biometric technologies are:\r\n<ul><li>Law enforcement and public security (criminal/suspect identification)</li><li>Military (enemy/ally identification)</li><li>Border, travel, and migration control (traveler/migrant/passenger identification)</li><li>Civil identification (citizen/resident/voter identification)</li><li>Healthcare and subsidies (patient/beneficiary/healthcare professional identification)</li><li>Physical and logical access (owner/user/employee/contractor/partner identification)</li><li>Commercial applications (consumer/customer identification)</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Biometric_Identification.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"qlik-sense":{"id":668,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Qlik_Sense.png","logo":true,"scheme":false,"title":"Qlik Sense","vendorVerified":0,"rating":"1.80","implementationsCount":4,"suppliersCount":0,"supplierPartnersCount":0,"alias":"qlik-sense","companyTitle":"Qlik","companyTypes":["vendor"],"companyId":2793,"companyAlias":"qlik","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, 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. 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:image":"https://old.roi4cio.com/fileadmin/user_upload/Qlik_Sense.png"},"eventUrl":"","translationId":671,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","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 "time period" to "years" and "months" 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 "measure"; 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: </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 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 "What if" 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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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 "time period" to "years" and "months" 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 "measure"; 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: </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 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 "What if" 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":[]}},"aliases":{"1":["ibm-integrated-analytics-system","omanalyticsr","qlik-sense","qlikview"]},"links":{"first":"http://b4r_be/api/products?page=1","last":"http://b4r_be/api/products?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://b4r_be/api/products","per_page":20,"to":4,"total":4},"loading":false,"error":null,"useProductLoading":false,"sellProductLoading":false,"templatesById":{},"comparisonByTemplateId":{}},"filters":{"filterCriterias":{"loading":false,"error":null,"data":{"price":{"min":0,"max":6000},"users":{"loading":false,"error":null,"ids":[],"values":{}},"suppliers":{"loading":false,"error":null,"ids":[],"values":{}},"vendors":{"loading":false,"error":null,"ids":[],"values":{}},"roles":{"id":200,"title":"Roles","values":{"1":{"id":1,"title":"User","translationKey":"user"},"2":{"id":2,"title":"Supplier","translationKey":"supplier"},"3":{"id":3,"title":"Vendor","translationKey":"vendor"}}},"categories":{"flat":[],"tree":[]},"countries":{"loading":false,"error":null,"ids":[],"values":{}}}},"showAIFilter":false},"companies":{"companiesByAlias":{},"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":""}}