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  2. Microsoft Power BI - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_BI

    Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). [7] It is part of the Microsoft Power Platform . Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive ...

  3. Value-stream-mapping software - Wikipedia

    en.wikipedia.org/wiki/Value-stream-mapping_software

    Value-stream-mapping software is a type of software that helps prepare and/or analyze value stream maps. The software typically helps design maps through utilizing a series of symbols representing activity and information/material flow, and as a supplement to manual calculations [ 1 ]

  4. Value-stream mapping - Wikipedia

    en.wikipedia.org/wiki/Value-stream_mapping

    Value-stream mapping, also known as material- and information-flow mapping, [1] is a lean [2]-management method for analyzing the current state and designing a future state for the series of events that take a product or service from the beginning of the specific process until it reaches the customer.

  5. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    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.

  6. Microsoft PowerPoint - Wikipedia

    en.wikipedia.org/wiki/Microsoft_PowerPoint

    PowerPoint 2013 or PowerPoint 2016 will both open and save files in the former binary format (.ppt), for compatibility with older versions of the program (but not versions older than PowerPoint 97). [ 261 ] [ 284 ] In saving to older formats, these versions of PowerPoint will check to assure that no features have been introduced into the ...

  7. Data mapper pattern - Wikipedia

    en.wikipedia.org/wiki/Data_mapper_pattern

    The goal of the pattern is to keep the in-memory representation and the persistent data store independent of each other and the data mapper itself. This is useful when one needs to model and enforce strict business processes on the data in the domain layer that do not map neatly to the persistent data store. [2]