Broad adoption. Large ecosystem. Highest rated infrastructure and development tools

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2 Broad adoption Customers in the Magic Quadrant survey report that their Microsoft average deployment sizes are now larger than any other vendor in the survey in terms of users. Use of OLAP functionality by Microsoft customers is more than double that for the rest of the survey respondents. Source: Gartner Magic Quadrant for BI Platforms, 2011 Large ecosystem "Wide availability of skills is among the top reasons customers select Microsoft over competing vendors. Source: Gartner Magic Quadrant for BI Platforms, 2011 Highest rated infrastructure and development tools Microsoft customers rate its BI platform infrastructure and development tools among the highest compared to other vendors, and a higher percentage of customers use them extensively. Source: Gartner Magic Quadrant for BI Platforms, 2011

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4 Build on the strengths and success of Analysis Services and expand its reach to a much broader user base Embrace the relational data model well understood by developers and IT Pros Bring together the relational and multidimensional models under a single unified BI platform best of both worlds! Provide flexibility in the platform to suit the diverse needs of BI applications

5 Third-party applications Reporting Services Excel PowerPivot SharePoint Insights Databases LOB Applications Files OData Feeds Cloud Services

6 Internet Explorer SharePoint BI Development Studio Project Juneau Excel Services PowerPivot for Excel xlsx Reporting Services Analysis Services PowerPivot for SharePoint (Analysis Services) Excel xlsx BI Semantic Model Third Party Apps Personal BI Team BI Organizational BI

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9 Monitoring Tracking and monitoring the state of Quality activities and Quality of Data Monitoring Cleansing Cleansing Amend, remove or enrich data that is incorrect or incomplete. This includes correction, standardization and enrichment. Profiling Analysis of the data source to provide insight into the quality of the data and help to identify data quality issues. Profiling Matching Matching Identifying, linking or merging related entries within or across sets of data.

10 Build Discover / Explore Data / Connect Knowledge Management Integrated Profiling Knowledge Base Use DQ Projects

11 SSIS Data Flow Values/Rules Reference Data Definition Source + Mapping SSIS Package Data correction Component Destination Microsoft Confidential Preliminary Information Subject to Change

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13 Highly Visual Design Experience Interactive, web-based authoring and sharing of information Familiar Microsoft Office design patterns Powerful data layout with banding, callout and small multiples visualizations Fully integrated with PowerPivot Drive greater insight through smart and powerful querying Zero configuration highlighting and filtering Animated trending and comparisons Rich metadata-driven interactivity Presentation-ready at all times Interactive Presentation turns pervasive information into persuasive information Deliver and collaborate through SharePoint Full screen presentation mode for interactive boardroom session

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16 A A A A A A A Direct attached storage local, regional and geo target Shared Storage, regional and geo secondaries Synchronous Data Movement Asynchcronous Data Movement

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18 FactSales DimDate FactSales(CustomerKey int, ProductKey int, EmployeeKey int, StoreKey int, OrderDateKey int, SalesAmount money) DimCustomer(CustomerKey int, FirstName nvarchar(50), LastName nvarchar(50), Birthdate date, Address nvarchar(50)) DimProduct DimEmployee DimStore DimCustomer

19 SELECT TOP 10 p.modelname, p.englishdescription, SUM(f.SalesAmount) as SalesAmount FROM FactResellerSalesPart f, DimProduct p, DimEmployee e WHERE f.productkey=p.productkey AND e.employeekey=f.employeekey AND f.orderdatekey >= AND p.productline = 'M' -- Mountain AND p.modelname LIKE '%Frame%' AND e.salesterritorykey = 1 GROUP BY p.modelname, p.englishdescription ORDER BY SUM(f.SalesAmount) desc;

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21 Uses VertiPaq compression C1 C2 C3 C4 C5 C6

22 SELECT region, sum (sales) C2 C3 C1 C4 C5 C6

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