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Prior to the release of Power Pivot, the engine for Microsoft's Business Intelligence suite was exclusively contained within SQL Server Analysis Services.In 2006, an initiative was launched by Amir Netz of the SQL Server Reporting Services team at Microsoft, codenamed Project Gemini, with the goal of making the analytical features of SSAS available within Excel.
Kyvos Viz, Microsoft Excel, Qlik, Tableau, Power BI, MicroStrategy, IBM Cognos, Business Objects, XLCubed, Looker, Altryx, and more Yes Yes Microsoft Analysis Services: Yes Yes Yes .NET [25] Yes [26] Yes [27] Yes Microsoft Excel, SharePoint, Microsoft Power BI, and 70+ other visualization tools No No MicroStrategy Intelligence Server: Yes No ...
OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.
The first release of Power BI was based on the Microsoft Excel-based add-ins: Power Query, Power Pivot and Power View. With time, Microsoft also added many additional features like question and answers, enterprise-level data connectivity, and security options via Power BI Gateways. [ 10 ]
A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...
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Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence (BI). The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart .
Price Intelligence (or Competitive Price Monitoring) refers to the awareness of market-level pricing intricacies and the impact on business, typically using modern data mining techniques. It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. [ 1 ]