By Barry Ralston

PowerPivot contains a suite of applied sciences for simple entry to facts mining and company intelligence research from Microsoft Excel and SharePoint. energy clients and builders alike can create refined, on-line analytic processing (OLAP) recommendations utilizing PowerPivot for Excel, after which proportion these ideas with different clients through PowerPivot for SharePoint. information should be pulled in from any of the top database structures, in addition to from spreadsheets and flat documents. The booklet takes a scenario-based method of exhibiting you ways to gather information, to mine that information via insightful research, and to attract conclusions that force company functionality.

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Extra info for PowerPivot for Business Intelligence Using Excel and SharePoint

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Complete the Create Relationship dialog by using DimProduct as the Related Lookup Table and ProductKey as the Related Lookup Column. info CHAPTER 3 ■ COMBINING DATA SOURCES 4. Click the Excel icon in the upper left-hand corner of the PowerPivot window to return to the Excel worksheet. 5. The warning message in the upper portion of the PowerPivot Field List should now read “PowerPivot data was modified”. Click the Refresh button. The PivotChart should look similar to Figure 3-11. Figure 3-11. PivotChart after creating a relationship with Estimated Sales Slicers One of the problems with our PivotChart to this point is it includes all data in the AdventureWorks FactInternetSales table.

For example, consider a primary table of product-level retail sales records and a lookup table containing the entire catalog of products sold by the company. Each row in the sales table would be related to exactly one product row. However, as most products have many sales transactions associated with them, a product would be related to many sales rows. This is illustrated in Figure 4-10. Several rows in the Sales Transaction Table contain a reference to a single row of the Product Table, for Product ID = 100, as indicated by the arrows.

We can both limit the data and greatly increase the reusability of our PowerPivot solution with the addition of slicers. Slicers utilize data from a PowerPivot data table to create a reporting filter. Because, under the hood, PowerPivot for Excel is SQL Server Analysis Services, the underlying database engine can very efficiently create distinct lists of elements to populate a slicer, as well as rapidly enforce the filtering created by a slicer. To explore the functions of a slicer, we will add Slicers to our current example.

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