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To name a few: Cognos Query and reporting, Oracle Enterprise Reporting, Crystal Reports, Microsoft Reporting Services (SSRS), etc.\r\n<span style=\"font-weight: bold; \">Is there a difference between reporting tools and BI tools?</span>\r\nAlmost every company, large or small, needs a reporting tool or they have already one in place. But, what is the difference between reporting software and Business Intelligence tools? They are not the same. In general reporting tools tell us where we have been but are not very good at analyzing data (at real time) and telling us where we are going (predictive).\r\n<span style=\"font-weight: bold;\">What is the difference between a query and a report?</span>\r\nA query is a way to create a list of accounts or journal entries that match your criteria. Requests serve as an advanced search engine that finds and groups accounts or journal entries and can only create a list.\r\nA report is a detailed report of a group of accounts or journal entries. 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The process of advanced analytics includes all three areas at various times.\r\n<span style=\"font-weight: bold;\">Data mining</span> is a key aspect of advanced analytics, providing the raw data that will be used by both big data and predictive analytics. <span style=\"font-weight: bold;\">Big data analytics</span> are useful in finding existing insights and creating connections between data points and sets, as well as cleaning data.\r\nFinally, <span style=\"font-weight: bold;\">predictive analytics</span> can use these clean sets and existing insights to extrapolate and make predictions and projections about future activity, trends, and consumer behaviors.\r\nAdvanced analytics also include newer technologies such as machine learning and artificial intelligence, semantic analysis, visualizations, and even neural networks. Taken together, they help advanced analytics software create an accurate enough canvas to make reliable predictions and generate actionable BI insights on a deeper level.","materialsDescription":"<h1 class=\"align-center\">A list of tips on how to manage the process of building an advanced analytics program</h1>\r\n<ul><li>Start with a proof-of-concept project to demonstrate the potential business value of analytics applications.</li><li>Take training seriously. New data management and analytics skills likely will be needed, especially if big data platforms and tools like SAS advanced analytics tools are involved.</li><li>Develop processes to ensure that business units are ready to act on analytical findings so the work of data scientists and other analysts doesn't go to waste.</li><li>Monitor and assess advanced and predictive analytics software on a regular basis to make sure the data being analyzed is still relevant and the analytical models being run against it are still valid.</li></ul>\r\n<h1 class=\"align-center\">Advanced analytics tools</h1>\r\nThere are a variety of advanced analytics tools to choose from that offer different advantages based on the use case. They generally break down into two categories: open source and proprietary.\r\nOpen source tools have become a go-to option for many data scientists doing machine learning and prescriptive analytics. They include programming languages, as well as computing environments, including Hadoop and Spark. Users typically say they like open source advanced analytics tools because they are generally inexpensive to operate, offer strong functionality and are backed by a user community that continually innovates the tools.\r\nOn the proprietary side, vendors including Microsoft, IBM and the SAS Institute all offer advanced analytics tools. Most require a deep technical background and understanding of mathematical techniques.\r\nIn recent years, however, a crop of self-service analytics tools has matured to make functionality more accessible to business users. Tableau, in particular, has become a common tool. While its functionality is more limited than deeper technical tools, it does enable users to conduct cluster analyses and other advanced analyses.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Advanced_Analytics_Software.png","alias":"advanced-analytics-software"},"405":{"id":405,"title":"Mobile Enterprise Application Platforms","description":"<span style=\"font-weight: bold; \">A mobile enterprise application platform (MEAP)</span> is a development environment that provides tools and middleware to develop, test, deploy and manage corporate software running on mobile devices.\r\nEnterprise mobile application development addresses the difficulties of developing mobile software by managing the diversity of devices, networks and user groups at the time of deployment and throughout the mobile computing technology lifecycle. Unlike standalone apps, an enterprise mobile app development services a comprehensive, long-term approach to deploying mobility. Cross-platform considerations are one big driver behind using MEAPs. For example, a company can use an enterprise mobile app development to develop the mobile application once and deploy it to a variety of mobile devices (including smart phones, tablets, notebooks and ruggedized handhelds) with no changes to the underlying business logic.\r\nPlatform applications are best for companies that wish to deploy multiple applications on a single infrastructure, scaled to the size of their current mobile field force and available in an online and offline mode. Enterprise mobile app platform provides higher level languages and easy development templates to simplify and speed the mobile application development timeframe, requiring less programming knowledge for mobile business application deployment.\r\nThere are many advantages associated with enterprise mobile application development platform. First of all, it can be run on the cloud. Without maintaining separate sets of code, mobile enterprise application platforms can support multiple types of operating systems and mobile devices. This means a company can deploy a mobile application to different mobile devices with the help of mobile enterprise application platforms without having to worry about compatibility. As most enterprise mobile development platforms have a tool set for modifications, creation of custom app extensions is quite easy and convenient. Enterprise mobile application platforms can centrally manage mobile applications and can also help in integration with multiple server data sources.","materialsDescription":"<h1 class=\"align-center\">What are the benefits of enterprise mobile app platform? </h1>\r\n<ul><li>Create apps and complex forms for any type of mobile device and OS without having to maintain separate sets of code.</li><li>Create tailor-made apps for specific user groups, giving them exactly what they need; usually, a mash-up of reading/writing access to your backend systems, publicly available web services and device features such as camera, GPS, sign-on screen, etc.</li><li>Requires basic and limited coding skills e.g. HTML and CSS.</li><li>Allows a high degree of re-use of the code and interactions developed.</li><li>Provide the offline capability for mobile users in areas without WiFi or cellular coverage.</li><li>Once the platform is integrated into the important back-end systems, creating new apps and forms can be done in hours rather than weeks or months.</li><li>Enterprise mobile application development services can be run on the cloud and purchased on a subscription basis.</li></ul>\r\n<h1 class=\"align-center\">Pros and cons of MEAP</h1>\r\nAlong with the benefits described above, a mobile enterprise application platform extends beyond fourth-generation language (4GL) tools for app development to use a graphical environment and dedicated script language. The tool makes business apps accessible to users from any location at any time. For ease of IT management, some MEAP products can run as a cloud service.\r\nA MEAP, like any technology, comes with challenges. The initial investment is high - it's expensive to begin with, though the total cost of ownership (TCO) goes down with use over time - and it requires IT to perform additional tasks such as updating content, securing data, maintaining applications with updates and managing user authentication.\r\n<h1 class=\"align-center\">Important features</h1>\r\nIn general, a MEAP has two important features:\r\n<ul><li>A mobile application development environment and back-end web services to manage those mobile applications and link them to enterprise applications and databases.</li><li>A centralized management component that enables an administrator to control which users can access an application and what enterprise databases that application can pull data from.</li></ul>\r\nSometimes, organizations will use a mobile enterprise application platform in conjunction with enterprise mobility management (EMM) or mobile device management (MDM). MDM manages mobile devices, while MEAP products manage the enterprise applications running on those devices - although there is sometimes overlap between the functionalities of these two technologies.\r\n<br /><br /> ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Mobile_Enterprise_Application_Platforms.png","alias":"mobile-enterprise-application-platforms"}},"companyUrl":"https://www.spotneats.com/","countryCodes":["USA"],"certifications":[],"isSeller":true,"isSupplier":false,"isVendor":true,"presenterCodeLng":"","seo":{"title":"SpotnEats","keywords":"","description":"SpotnEatsis an award-winning food delivery app development company in the market. We partner with on-demand food startups to develop food delivery apps with powerful languages and well made designs. Apart from developing the app, we also extend long term suppo","og:title":"SpotnEats","og:description":"SpotnEatsis an award-winning food delivery app development company in the market. 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