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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 ... Paginated reports may be more suitable than regular Power BI reports, and ...

  3. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Power BI allows the user to customize their visualizations by adding colors and labels. In addition, when the user clicks a data point, they are able to understand what the point or selection is showing. Power BI also has a commonly used map feature where businesses can view their sales and earnings across different states and countries. Places ...

  4. SQL Server Reporting Services - Wikipedia

    en.wikipedia.org/wiki/SQL_Server_Reporting_Services

    The "Power BI Report Builder" application (not to be confused with "Report builder", the standalone SSRS tool) produces RDL reports (.rdl files, similar to SSRS), in contrast to the interactive .pbix files of regular Power BI reports (produced for example with the Power BI Desktop application). A possible reason for introducing SSRS for Power ...

  5. Get breaking Business News and the latest corporate happenings from AOL. From analysts' forecasts to crude oil updates to everything impacting the stock market, it can all be found here.

  6. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  7. Interactive Data Exploration - Wikipedia

    en.wikipedia.org/wiki/Data_exploration

    [1] [2] [3] Automated activities can include data profiling or data visualization or tabular reports to give the analyst an initial view into the data and an understanding of key characteristics. [1] This is often followed by manual drill-down or filtering of the data to identify anomalies or patterns identified through the automated actions.

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