It allowed analysts to set up their own analytical data sets and analyze them using a familiar looking language (DAX), and visual reporting canvas (PowerView) all from within Excel. Data in Power Pivot is read-only and refreshable вЂ“ ensuring integrity. Its columnar compression meant that millions of rows of data could be analyzed in Excel and would not require massive amounts of space to store. Initially released as an add-in for Excel 2010, it contained a new analytical engine that would soon be introduced to SQL Server Analysis Services as well. Power Pivot was created to provide a self-service BI tool that solved these problems. Analysts were restricted by the amount of data they could work with, and the proliferation of these вЂњspreadmartsвЂќ storing potentially sensitive data created a governance nightmare. IT administrators had to deal with storage requirements. The demand for вЂњself-service BIвЂќ resulted in a lot of imported data being stored in overly large Excel files. Export to Excel is still one of the most used features of any Business Intelligence tool on the market. An analyst can easily connect to and import data, perform analyses, and achieve results quickly. Excel is an excellent tool for analyzing data.

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