1. Business Intelligence Microsoft

2. 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

3. Pervasive BI OperationalStrategicTactical Number of decisions Strategic Value

4. BI Applications and Analytical Clients Development Tools BI Platform

5. Complete Offering BI Platform (SQL Server) End-user Tools (Office) Analytic Applications (Office Business Applications)

6. Collaboration and Content (Office SharePoint Server 2007) SQL Server 2005 RDBMS Integration Integration Services Analysis Analysis Services Reporting Reporting Services Business Scorecarding (Business Scorecard Manager 2005) End-user Analysis (Excel 2007) Scorecards, Analytics, Planning (PerformancePoint Server 2007) Advanced Analytics (ProClarity 6.1) Microsoft Business Intelligence An end-to-end integrated offering BIPlatform PerformanceManagementApplications

7. 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 ReportAnalyzeIntegrate Business Intelligence Platform

8. Enterprise ETL platform High performance High scale More trustworthy and reliable Best in class usability Rich development environment Source control Visual debugging of control flow and data Great range of transforms out-of-the-box Highly extensible Custom tasks Custom enumerations Custom transformations Custom data sources Integration Services Breakthrough ETL Capabilities

9. Data Cleansing Provides data mining and AI expertise Domain-independent data cleansing Fuzzy lookup Lookup on approximate matches Do not reject if row could be correct! Tune for best match De-duplication Eliminate approximate duplicates “Windows XP”, “WinXP”, etc. Tune for confidence Managing Slowly Changing Dimensions E.g. Sales organization changes E.g. Customer movement E.g. Product category changes SQL Server Integration Services New Paradigm for the ETL Platform

10. Unified Dimensional Model Pro-active caching Advanced Business Intelligence Key Performance Indicators Custom Aggregations and Semi-Additive Measures Web services Data Mining in the platform Integrated Developer Tools Failover Clustering Decision Trees Clustering Time Series Sequence Clustering Association Naïve Bayes Neural Net Introduced in SQL Server 2000 Analysis Services Enhanced OLAP and Data Mining Capabilities plus…  Logistic Regression  Linear Regression  Text Mining

11. Enterprise Business Intelligence (BI) – Today datawarehouse(DW) Datamart Datamart Data Model Reporting Tool (1) MOLAP MOLAP Reporting Tool (2) Tool Data Source OLAP Browser (2) Online Analytical Processing (OLAP) Browser (1) Reporting Tool (3)

12. DW Datamart Datamart MOLAP MOLAP Enterprise BI – A Messy Reality Data Model Reporting Tool (1) Reporting Tool (2) Tool Data Source OLAP Browser (2) OLAP Browser (1) Reporting Tool (3) DuplicateModels OLAPversusReporting DuplicateData

13. Relational Versus OLAP Reports FeatureRelationalOLAP Flexible schema  Real time data access  Single data store  Simple management  Detail reporting  High performance  End-user oriented  Ease of navigation and exploration  Rich analytics  Rich semantics 

14.  * Multidimensional navigation  * Hierarchical presentation  * Friendly entity names  * Powerful MDX calculations  * Central KPI framework  * “Actions”  * Language translations  * Multiple perspectives  * Partitions  * Aggregations  * Distributed sources OLAP Cubes  * Multiple fact tables  * Full richness the dimensions’ attributes  * Transaction level access  * Star, snowflake, 3NF…  * Complex relationships: Multi- grains, many-to-many, role playing, indirect…  * Recursive self joins  * Slowly changing dimensions Relational Reporting The Unified Dimensional Model The Unified Dimensional Model The Best of Relational and OLAP

15. DW Datamart Datamart Data Model BI Applications MOLAP MOLAP Reporting Tool (1) Tool Data Source OLAP Browser (2) OLAP Browser (1) Reporting Tool (2) UDM Enterprise BI – With A UDM

16. DW Datamart Datamart Data Model BI Applications MOLAP MOLAP Reporting Tool (1) Tool Data Source OLAP Browser (2) OLAP Browser (1) Reporting Tool (2) UDM A single dimensional model for all OLAP analysis and Relational reporting needs Enterprise BI – With A UDM

17. Dashboards Rich Reports BI Front Ends Spreadsheets Ad Hoc Reports AnalysisServices Cache XML/A or ODBO UDM SQLServer Teradata OracleDB2 LOB DW Datamart Analysis Services High-level Architecture

18. Business Intelligence Enhancements Add data-aware “smarts” Autogenerated KPIs, MDX scripts, translations, currency… Data Mining 10 Mining Algorithms Smart applications XML standards for Data Access & Web services integration $$ saving for customers integrating our solution with other systems Unified Dimensional Model Powerful business information modeling Cross platform data integration Integrated Relational & OLAP views KPIs & Perspectives Proactive caching Real-time data in OLAP Cubes Very fast and flexible analytics SQL Server Analysis Services New Paradigm for the Analytics Platform

19. Business Intelligence Key Performance Indicators Calculations that drive visual indicators Quick and easy way to “manage by exception” Set and Monitor Goals Monitor the trend, up or down

20. SQL Server 2005 Analysis Services Data Mining New Algorithms Two enhanced Eight new algorithms New Visualizations Enhanced tools custom visualizations Deep Integration OLAP, DTS, and Reporting Integration.NET programming model Completely extensible framework

21. SQL Server 2005 Analysis Services Data Mining  Banking Anti-Money Laundering Credit Risk Management Credit Scoring Customer Retention Fraud Detection Marketing Automation Operational Risk Management Performance Management Risk Management Web Analytics Service

22. Value of Data Mining 8 new algorithms, 10 in total Graphical tools/wizards 12 embeddable viewers SQL Server 2005 makes it easier Tightly integrated with AS, DTS, Reporting Integration with Web/Office apps SQL Server 2005 OLAP Reports (Ad Hoc) Reports (Static) Data Mining Business Knowledge Easy Difficult Usability Relative Business Value

23. Complete Set of Algorithms Decision Trees Clustering Time Series Sequence Clustering Association Naïve Bayes Neural Net Introduced in SQL Server 2000 plus…  Logistic Regression  Linear Regression  Text Mining

24. SQL Server 2005 Analysis Services Data Mining Decision Trees - Predict the odds that a future behavior will occur Association Rules - Provides insight into relationships of certain actions Sequence Clustering - Used to group or cluster data based on a sequence of previous events Neural Nets - Training a neural network on historical data, neural network analysis can identify the most relevant characteristics and use those to classify applicants Text Mining - Analyze the free text Naïve Bayes – Show linkage between characteristics and metrics Logistic Regression – A specialized variation of Decision Trees Linear Regression – A specialized variation of Neural Nets Time Series – Predict metrics (i.e., sales) based on patterns