1. An Overview of SQL Server Business Intelligence Donald Farmer Principal Program Manager SQL Server Business Intelligence donald.farmer@microsoft.com

2. People define business success

3. Business Productivity Infrastructure Optimisation Application Platform Infrastructure Optimisation Core Infrastructure Optimisation The role of people & the role of software

4. More Efficient Cost Center Standards- based, flexible business applications Business Enabler Adaptive application platform driving core applications and business processes Cost Center Brittle, unconnected applications and platforms Strategic Asset Fully service- oriented, dynamic application platform Application Platform Infrastructure Optimization

5. Data moving upstream: transactional to pre-transactional Huge data volumes from sensors Less data being “managed” New clients: devices, phones, media PCs, … New data types: music, pictures, video, … The next data explosion

6. Beyond Relational From “words and numbers” to “sights and sounds” Dynamic Applications From isolated & rigid to adaptive & synchronized From manual to automated dev & test Continuous Availability and Automation From manual to self-tuning, self organizing, and self maintaining End-to-End Business Insight From static and centralized to real-time and personalized The Microsoft Data Vision Documents & Portal BPI & Workflow Reporting Services Analysis Services Integration Services Dynamic Applications RDBMS FILE OLAP XML

7. Improving organizations by providing business insights to all employees leading to better, faster, more relevant decisions Complete and integrated BI offering Widespread delivery of intelligence through Microsoft Office Enterprise grade and affordable Microsoft Business Intelligence

8. Common Pains Empowering the Enterprise Export to Excel Don’t impact performance until it’s too late Organizations invest in expensive and typically underutilized tools Scenario Examples Need information delivered to everyone so they understand how to impact success Pay for more than is needed No common set of tools for all end-users Common Pains

9. Common Pains Empowering the Enterprise Solution Widespread delivery of intelligence through Microsoft Office Enterprise grade and affordable Complete and integrated BI offering Microsoft Business Intelligence

10. Why Do You Want BI? Typical IT Perspective Typical User Perspective 1."Increase market share" 2."Improve share of wallet" 3."Improve cross-sell" 4."Improve campaign return rate" 5."Improved targeting" 6."Better customer information" 1.“Compliance” 2."Enable performance management" 3."Support information requirements" 4."Used for multiple purposes" 5."Efficient integrated environment"

11. SQL Server BI Platform Data acquisition from source systems and integration Data transformation and synthesis Data enrichment, with business logic, hierarchical views Data discovery via data mining Data presentation and distribution Data access for the masses

12. BI Development Studio Complete, Integrated development tool in BI Development Studio Build end to end DW solution Create reports Build OLAP cubes and KPI Create Data Mining models Create your end to end data integration packages Development Lifecycle support with Visual Studio TFS Integrated into Visual Studio 2005

13. Enterprise data integration Connectivity to any source Scalable pipeline architecture Comprehensive set of transformations DW smarts handling Slowly changing dimensions and direct loading of cubes Clean and Validate using data mining and data quality Integration Services Breakthrough ETL capabilities

14. Example: before Integration Services Call centre data: semi structured Legacy data: binary files Application database ETL Warehouse Reports Mobile data Data mining Alerts & escalation Integration and warehousing require separate, staged, operations. Preparation of data requires different, often incompatible, tools. Reporting and escalation is a slow process, delaying smart responses. Heavy data volumes make this scenario increasingly unworkable. Hand coding Staging Text Mining ETL Staging Cleansing & ETL Staging ETL

15. Example: with Integration Services Call centre: semi-structured data Legacy data: binary files Application database Alerts & escalation Integration and warehousing are a seamless, manageable, operation. Sourced, prepare and load data in a single, auditable process. Reporting and escalation can be parallelized with the warehouse load. Scales to handle heavy and complex data requirements. SQL Server Integration Services Text mining components Custom source Standard sources Data cleansing components Merges Data mining components Warehouse Reports Mobile data

16. The value of analysis

17. Analysis Services Why OLAP and Data Mining Matter Powerful business information modeling Integrated Relational & OLAP views Data enrichment and advanced analytics Key Performance Indicators and Perspectives Real-time, high performance

18. OLAP Leadership http://www.olapreport.com Unprecedented 3rd year as market growth leader Highest growth Rate in industry

19. Reporting Services Enhanced Reporting Capabilities Scalable Server Rich, Enterprise Reporting Platform (static and interactive) Multiple data sources with multiple delivery options Scalable, manageable and embeddable Web Services architecture Scheduling, Snapshots, Caching, more… Advanced Authoring Tools Visual Studio IDE XML specification (RDL) 3rd party extensibility End-user, Ad Hoc Reporting Strong Management Story SOAP Web Service APIs Report Manager portal Extensible security model Integration with AS, IS, management tools

20. Report Builder Extending the Reach of Reporting Services Ad Hoc Reporting for the End-User 1-Click Install With Report Builder: Report from a Business Model Modify a Report Build a New Report Report on Relational or OLAP data

21. Reporting Models Paradigm: Build Once : Query Many Empowers users to create their own reports End-user reports can be further edited & extended in BI Development Studio by professional report developers Provide easy data navigation with drill- through relations Mask relational and OLAP schema complexity Present data in familiar business terms

22. Identify trends in customer behaviour Provide optimized customer experience Customer retention Create and maintain new customer metrics Create and maintain customer communities Customer satisfaction Create evidence-based incentive programs Anticipate churn in talent from performance metrics Retain talent Identify new demographics and firmagraphics New products based on customer behaviour Financial growth Aligning BI with corporate strategy Some quick wins …

23. Customer Results/Benefits Solution Customer Challenge Instances of store out of stock Inappropriate stock levels Difficult to perform analysis of large data volumes Overburdened operational systems End to end business intelligence with: SQL Server, reporting services, analysis services, integration services and data mining 3.0 TB Raw Data, 64- bit, 20-way server 50% reduction in development time over Oracle SQL Server Integration Services shows up to 400% performance improvement Deliver more meaningful, up-to-date info

24. Customer Results/Benefits Business users had varying requirements A lot of data needed for analysis No centralized data store Turn around time for analysis – too long for management End to end business intelligence with: SQL Server 2005, Integration Services, Analysis Services, Reporting Services and Business Scorecard Manager 2005 5+ TB Data warehouse More timely availability of information Information available to more users (2000+) Deep analysis capabilities for more users ROI of over 2000% Premier Bankcard Inc. Solution Customer Challenge

25. Customers 2.5 TB retail BI/DW: OLAP, RS, IS running on SQL Server 2005 Aligned actions and strategy: BSM, SQL Server, SharePoint Portal Server, Visio Injury-Environmental Scorecard: BSM, SharePoint Portal Server, SQL Server AS and RS Monitoring digital supply chain efficiency and effectiveness: BSM, SharePoint, Excel, SQL Server RS Visibility into financial data and simplified budgeting : BSM, SQL Server, Windows SharePoint Services

26. Summary Data Stewardship is central to the People-Ready Enterprise The complete data platform is realized in Microsoft SQL Server Microsoft BI effectively takes data enhancement to a new level

27. ©2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.