By John Campbell, Stacia Misner, Norm Warren, Mariano Teixeira Neto
Dive into the enterprise intelligence (BI) positive factors in SharePoint 2010—and use the correct mix of instruments to bring compelling recommendations. This useful advisor is helping you discover a number of BI software companies to be had in SharePoint 2010 and Microsoft SQL Server® 2008 R2. You’ll study every one know-how with step by step directions, and ascertain which of them paintings top in particular BI scenarios—whether you’re a SharePoint administrator, SQL Server developer, or company analyst.
* opt for the BI instruments that meet your needs—and find out how they interact
* learn the BI lifecycle, from picking out key functionality signs to development dashboards
* Take Microsoft Excel® further—gain extra regulate and performance with web-based Excel companies
* Mash up info from a number of assets utilizing PowerPivot for Excel 2010
* Create information visualizations with items, context, and metrics utilizing Microsoft Visio® prone
* construct dashboards, scorecards, and different tracking and research instruments with PerformancePoint® prone
* Use SharePoint to view BI studies part via part, regardless of which instruments have been used to produced them
Your significant other websites includes:
* Interactive workouts that assist you try suggestions or innovations
* Code samples that make it easier to paintings with the routines
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Additional resources for Business Intelligence in Microsoft SharePoint 2010
If they do not, the elements of the forecasts must be changed. For Microsoft’s Vision for BI 9 example, a financial forecast is created in part for the purpose of measuring and monitoring against a firm’s own general targets as compared to investor expectations. Investor expectations are based on a number of variables, which include industry average, the economy, and so on. At this level, pro forma statements are used to accomplish the following objectives: ■ Estimate the effect of proposed operating changes, enabling managers to conduct “what if” analysis.
When an Excel workbook sources data from an Analysis Services cube, Excel Services supports drilling, filtering, and sorting data in a pivot table. Although the user cannot replace dimensions on the pivot table’s rows, columns, or filter axes, the interactivity is still better than Reporting Services can support. For organizational BI, in which dissemination of information is a higher priority than supporting analysis, this limitation of Excel Services should not be an obstacle. The workbook author can configure the report to accept parameters from the user for another type of interactivity.
How would a user decide which tool to use? Let’s review the characteristics of the documents produced by each tool. Excel Excel is a tool commonly preferred by users of all skill levels for ad hoc reporting and analysis. Users can retrieve data from data sources and combine it with manual data. A user can import data and then manipulate the data by creating charts, sorting, filtering, and applying a wide range of calculations from simple to complex. Casual users might use Excel for simple summing and averaging of data, whereas power users might create complex forecasting models.