2. 2 Dynamic Development Platform For All Data Pervasive Insight Enterprise Data Platform Datacenter Mobile and Desktop OLAP FILE XML RDBMS Services Query AnalysisReportingIntegrationSync Search Cloud Storage “Enabling customers of all sizes to derive value from ALL data, birth through archival”

3. Reduce dependence on IT Greater re-use of insights Lower training time & cost Faster time to decision Lower management cost Enhance IT Governance Enable real-time insight Improve resource utilization Reduce $ cost/TB Predictable performance HW flexibility & choice Reduce deployment risk Scale with Confidence Empower End Users Empower Improve IT Efficiency Improve 3

4. Scale with Confidence Empower End Users Empower Improve IT Efficiency Improve Excel based In-mem Analytics Self Service Reporting Re-usable report parts End user app. management SharePoint Publishing & Hosting App deployment meta-data Multi-server management Master Data Services Complex Event Processing Support for up to 256 cores MPP Support for 100TB+ DW (Massively Parallel Processing) Appliance-like DW on industry standard HW Hub & Spoke Architecture Multi-Temperature 4

5. …on growing volumes of data from diverse sources and systems. Support growing volumes of data Support heterogeneous applications and sources Maintain data quality, integrity and security Empowering end users to gain insights from information… Reduce end user dependency on IT Provide intuitive and easy to use tools Share & access information anywhere …customized and in the context of their business applications… Insight into ‘line of business’ app information BI in the context of business applications BI assets that can be customized and changed 5

6. End User Empowerment  Self Service Reporting End User Authoring Ad Hoc Querying & Reporting Intuitive and Productive Authoring Geospatial Visualization Sharing & Collaboration Publish & re-use predefined queries and data Publish & re-use report sub-components Reports as data for desktop analytics 6

8. Excel-hosted client & reporting In-memory BI engine SharePoint for managed collaboration Analysis Services for integration 8

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21. 21 Users need to have access to information when and where they need it Training users on multiple BI tools is inefficient and costly Need to combine data across multiple sources for a more accurate view SITUATION TODAY Easy Access to relational and multi-dimensional data Productive reporting with familiar Microsoft Office interface with the ability to render to multiple formats including Excel, Word, PDF, XML, etc. Presentation quality reports with rich visualisations Presentation quality reports with rich visualisations Support for multiple data sources within a single report Reporting Services and Report Builder 3.0 “Our analysts can do anything with Excel, so integrating Excel as a front end for our BI infrastructure is extremely popular. It makes it easier to explore the huge wealth of data we have in our 17-terabyte data warehouse” - Dan Zerfas, Vice President of Software Development

27. 27 Master Data Hub – authoritative source Align systems Stewardship UI -- enables people to contribute API – enables systems to contribute and consume Workflows and business rules – ensure the data is right Reduce Process Cost Hierarchy and Attribute management Eliminate Expense of bad data

28. 28 Master Data Management Model Management Model Documentation

29. Any domain Not just “canned” domains New domains or unique requirements Model deployment capability Enables partners to define prebuilt content (both the model definition and the data) API enables partners to quickly build custom Master Data applications Domain specific user interfaces Application integrations 29

30. 30 Managing individual physical resources IT and Development Silos Time-consuming to troubleshoot and error prone Lack of information sharing and coordination Application deployment trial and error Challenges with impact analysis and resource planning Hardware not optimized

31. Visibility and Control Administration Efficiencies Discovery and transparency Manage instances and applications by policy Collaboration with development Accelerated deployments Identify consolidation opportunities, reduce costs Improve service levels EnvironmentOptimization 31

32. CEP is the continuous, incremental processing of event streams from many sources based on declarative query/pattern specifications with minimal latency Database ApplicationsEvent-driven Applications Query Paradigm Ad-hoc queries or requests Continuous standing queries LatencySeconds, hours, daysMilliseconds or less Data RateHundreds of events/secTens of thousands of events/sec or more request response Event output stream input stream

33. Relational Database Applications Financial trading Applications Aggregate Data Rate (Events/sec.) Latency 010100100010000100000~1million Months Days hours Minutes Seconds 100 ms < 1ms Operational Analytics Applications, e.g., Logistics, etc. Manufacturing Applications Monitoring Applications CEP Target Scenarios Data Warehousing Applications Web Analytics Applications 33

34. 34 Data Stream Stream Data Store & Archive Event Processing Engine Data Stream Asset Specs & Parameters Power, Utilities: Energy consumption Outages Smart grids 100,000 events/sec Visual trend-line and KPI monitoring Batch & product management Automated anomaly detection Real-time customer segmentation Algorithmic trading Proactive condition-based maintenance Visual trend-line and KPI monitoring Batch & product management Automated anomaly detection Real-time customer segmentation Algorithmic trading Proactive condition-based maintenance Web Analytics: Click-stream data Online customer behavior Page layout 100,000 events /sec Manufacturing: Sensor on plant floor React through device controllers Aggregated data 10,000 events/sec Threshold queries Event correlation from multiple sources Pattern queries Threshold queries Event correlation from multiple sources Pattern queries Lookup Asset Instrumentation for Data Acquisition, Subscriptions to Data Feeds Financial Services: Stock & news feeds Algorithmic trading Patterns over time Super-low latency 100,000 events /sec

35. 35 Appliance-like time to value Flexibility through choice of HW platforms Low TCO through commodity hardware and value pricing. Reduced risk through pre-tested and pre-tuned configurations Provides a clear upgrade path to PDW via Hub/Spoke 35

36. Get more out of your existing SQL Server infrastructure Scalable low TCO ‘hub’ for aggregation & analysis Efficient scale-up ‘spokes’ for departmental data- marts SQL Server Fast Track Data Warehouse is a building block (spoke) to the hub & spoke system

37. Deep Integration with SharePoint Enterprise Deployment & Management Single Security Model and Administration Incremental Improvements Scorecards Dynamic hierarchies with navigation KPIs on columns Multiple Actual Values Variance Calculated Metrics Filter Hierarchies New Features Decomposition Tree KPI Details Report Pie Charts Analytic Report Value filtering Analysis Services Conditional Formatting PerformancePoint Services in SharePoint 2010

38. PivotTable Write-Back Support for Analysis Services Write- Back directly from PivotTables Complete Object Model Support Slicers Create visual-interactive analytics Named Sets Define and re-use sets of members Improved PivotTable layout control Formatting and Interactivity Format and navigate data Excel Services SharePoint Excel Services integration Excel 2010

39. Available Now SQL Server 2008 Fast Track Data Warehouse Reference Architectures SharePoint Server 2007 / PerformancePoint Server 2007 Coming in H1 Calendar Year 2010 Final packaging and pricing TBD SQL Server 2008 R2 Self Service Analysis (PowerPivot) & Reporting Application & Multi-Server Management Master Data Services Low Latency Complex Event Processing Support for up to 256 cores SQL Server 2008 R2 Parallel Data Warehouse Edition SharePoint 2010, including PerformancePoint Services Accelerating delivery of incremental value and innovation 39 Preliminary Information Subject to Change

40. © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.