1. Oracle Business Intelligence & Data Warehousing Overview Sankar Bala DW/BI Specialist Sankar.bala@oracle.com 469.583.0261

2. What is intelligent data? Business Analytics Information Made Powerful Automated management reporting KPIs Driver based forecasting Near real-time view of business Actionable projections Performance Management / measurable accountability to results Data Made Meaningful Standardize business logic and rules Process controls & data integrity Single source of data Official source for financial, sales, operational and management reporting Raw Data Legacy systems with a long heritage Mission critical applications (ERP, Billing, Merchandising, etc…) Data Collection Enterprise Data Warehouse Source Systems Sales/Inv Data Process Controls and Data Integrity Information Value Data is made meaningful when there are standardized definitions, process controls and a focus on data integrity Information is made powerful when this transformed data is used by management to improve business efficiency Data is made meaningful when there are standardized definitions, process controls and a focus on data integrity Information is made powerful when this transformed data is used by management to improve business efficiency Operations Data Finance Data

3. Road to Success Success criteria: Business Strategy Improve Top Line Sales Improve Margin Increase customer service Increase accountability People Actionable Information Accessibility of Information Varying skill levels Legacy Environment New BI Solution Processes Data Quality Standard Business Language Standard Metrics & KPI’s Technology Scalability Stability Flexibility Mainstream People Business Strategy Processes Technology Realizing your corporate Strategy will require the integration of people, process and technology

4. Lineage Query & Analysis Name/Address Scrubbing ETLTool Transformation Engine Mining Engine Database OLAP Engine Analytic Apps Reporting Engine Enterprise Reporting PortalPortal ETL Tool Transformation Engine Typical BI Environment Oracle Portal BEA WebLogic IBM WebSphere MS Share Point Oracle Balance Scorecard Hyperion Scorecard Cognos Metrics Mgr Oracle Warehouse Builder Informatica PowerCenter Ab Initio Co-Op IBM Ascential Oracle BI Platform / XML Publisher Business Objects XI Cognos 8 BI MicroStrategy 8 Hyperion 9 BI + Oracle 10g IBM DB2 NCR Teradata MS SQL Server Oracle EPB Hyperion Planning Cognos Planning Business Objects SRC Oracle OLAP Hyperion EssBase Cognos PowerPlay MS OLAP Oracle Data Miner SAS Enterprise Miner SPSS Clementine

5. Typical BI Environment  RDBMS  ETL  Cleansing  Lineage  OLAP  Data Mining  Query & Reporting  Enterprise Reporting  Analytical Applications  Portal

6. What About ?  GIS  Collaboration  Unstructured Data  Enterprise Security  Identity Management  Application Integration  Metadata Management  Business Activity Monitoring  Business Process Flow Management

7. Only ORACLE Can !  RDBMS  ETL  Cleansing  Lineage  OLAP  Data Mining  Query & Reporting  Enterprise Reporting  Analytical Applications  Portal  GIS  Collaboration  Unstructured Data  Enterprise Security  Identity Management  Application Integration  Metadata Management  Business Activity Monitoring  Business Process Flow Management

8. Simplify Lineage Query & Analysis Name/Address Scrubbing ETLTool Analytic Apps Reporting Engine Enterprise Reporting PortalPortal ETL Tool Transformation Engine Database Transformation Engine Mining Engine OLAP Engine Eliminate redundancy Reduce number of moving parts Develop “best practice” architecture

9. Simplify Lineage Query & Analysis Name/Address Scrubbing ETLTool Analytic Apps Reporting Engine Enterprise Reporting PortalPortal ETL Tool Transformation Engine Database Transformation Engine Mining Engine OLAP Engine Metadata Mgmt Enterprise Security Application Integration Collaboration Identity Mgmt Business Process Flow Mgmt Unstructured Data GIS

10. DW/BI Products Oracle Business Intelligence EE Analytic Server Query & Analysis Dashboards Reporting & Publishing Sense & Respond Offline Analytics MSFT Office Add-In Server Administration Oracle Business Intelligence SE Discoverer Discoverer OLAP Discoverer Plus Discoverer Viewer Reports BI Beans MSFT Office Add-In Oracle Business Intelligence SE-1 SE1 Database ETL Analytic Server Query & Analysis Dashboards Server Administration Targeted to SME Customers Oracle Database ETL, OLAP, Data Mining

11. Oracle10g Warehouse Builder

12. What is Oracle Warehouse Builder?  Enables the extraction, transformation, and loading of data to produce quality information in the Oracle database  Protects and leverages customer investment in the Oracle technology stack through data and metadata integration

13. Gartner ETL Magic Quadrant, 1H05 Disclaimer: The Magic Quadrant is copyrighted 11 May 2005 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Magic Quadrant for Extraction, Transformation and Loading, 1H05, T. Friedman, B.Gassman, May 2005

14. Sample Customers

15. Design and Deployment With Oracle Warehouse Builder Design Target Objects 1 Map & Transform 3 Oracle9i/10g OLAP Flat file BI tools Generate & Validate 4 Deploy Code 5 Relational Flat Files Applications Mainframe RunRun 6 6 2 Extract Source Metadata

16. 10gR2 themes  Enabling Quality Information  Enabling Business Intelligence  Enabling Expertise capture

17. Metadata Management Enabling Quality Information Capture Metadata Process Flow Profile Data Data Rules Data Flow Deploy Execute Quality Assessment Quality Design Quality Transformation Quality Monitoring Information Data

18. Data Quality in OWB  Data Quality functionalities are integrated into ETL processes – Disciplined approach to Data Quality, not an afterthought – Data Quality is modeled, executed and audited just like any other transformation  Consists of – Data Profiling – Name and Address Cleansing – Match-Merge

19. Enabling Quality Information – New in 10gR2  Data Quality – Data Profiling  Data Integration – New Data Sources and Targets – Enhanced ERP Integration – Transportable Modules – Scheduled Process Execution  Application Lifecycle Management – User-defined Objects & Icons

20. Data Profiling  Allow users to analyze data – discover the structural content – capture the semantics – Identify anomalies and outliers  Automatically derive business rules and maps to clean data  Derive Quality Indices (e.g. 6-sigma)  Auditors monitor quality on an ongoing basis  Integrated as part of ETL ColumnsPatternFormatFormat % Compliant Unique HdateYYYY-MM-DDDate82% SSN9(3)-9(2)-9(4)US Social Security Number3% Phone9(3)-9(3)-9(4)US Phone Number16% Id9(5) N/AYes ContactA@A.AEmail99%No

21. Data Profiling

22. Metadata Management Enabling Business Intelligence Derivation Preview BI Defs Generation Information Deploy Design

23. Enabling Business Intelligence – New in 10gR2  Relational and Dimensional Data Object Designer  Business Intelligence Object Derivation

24. Data Object Design One Editor  Dimensions, cubes, tables, views, complex objects, …  Support for Star, Snowflake, Skip-Level, calculated measures, …  One editor for creation, configuration, validation, code generation, impact analysis, deployment, data viewing

25. Data Object Editor

26. Business Intelligence Object Derivation z Relational & OLAP Catalogs, 10g Scheduler, Workflow Warehouse Builder Discoverer BI Beans Designer  Create and Derive Business intelligence objects  Oracle OLAP Cubes & Dimensions  OracleBI Discoverer EUL  OracleBI Beans Reports  Included in Lineage and Impact analysis!

27. Enabling Expertise Capture Enabling Business Intelligence BI Defs Enabling Quality Information Data Information Expertise

28. Enabling Expertise capture – New in 10gR2  Re-use OWB Components to build your OWN application! – Define best practices & directed guidance  Run Standalone or within OWB Design-time  Declarative Definition & Guided execution  E.g. “Data-Mover” Expert – Offers users the ability to easily copy data from:  Table-to-Table  File-to-Table

29. Expert Editor

30.  Oracle – Tables, Views, MViews, Queues, External Tables, Table Functions, Streams, PL/SQL API’s, Sqlloader…  DB2, Sybase, SQLServer, Informix, Mainframes, … (Oracle Transparent Gateways)  ODBC  Flat Files  Applications – Oracle Apps – Peoplesoft – SAP – Custom SQL App Sources & Targets Sources Targets  Oracle – Tables, Queues, Table Functions, Streams, PL/SQL API’s, …  DB2, Sybase, SQLServer, Informix, Mainframes, … (Oracle Transparent Gateways)  ODBC  Flat Files  Applications – Oracle Apps – Peoplesoft – Custom SQL App

31. Enhanced ERP Integration  Metadata adapters for: – Oracle EBusiness Suite – Peoplesoft  Enhancements to SAP adapter: – Direct ABAP processing – ABAP Join Ranking – Variable support – Sub-Process flow integration

32. Transportable Modules  Move large data volumes quickly and easily between Oracle instances – Perform fast bulk loads – Performance & usability gains over traditional technologies (DB Links, Flat Files,…) – Technology varies according to source:  9 i source - Transportable Tablespaces  10g source – Data Pump

33. Scheduled Process Execution  Define complex custom calendars to control process execution – E.g.  Working Days  Holidays  Standard iCal format

34. User-Defined Objects & Icons  User-Definable: – Objects – Associations – Properties ALL in the OWB repository!  Custom icons for easy recognition  Access full metadata services of OWB e.g. impact analysis

35. Impact Analysis on UDO’s

36. New Segmentation of OWB Functionality Core ETL Features Core ETL Features Easily load Data into Oracle Database Data Quality Convert Data to Quality Information on an ongoing basis Enterprise ETL Enable Large Scale, Complex Deployments ERP/CRM Connectivity Extract from common ERP/CRM (SAP etc.)

37. What are the Core ETL Features? OWB 10gR2 Core ETL = OWB 10gR1 Functionality – SAP connector + Enhancements + New Features Core ETL Features Core ETL Features Easily load Data into Oracle Database

38.  Import Metadata. source Non-Oracle and Flat-files  Target Oracle (relational & Dimensional) and Flat-Files  Support for Oracle OLAP and Relational Partitioning  Debugging, Mapping (Aggregation, De-duplication, Joining, etc.  Name & Address Cleansing Interface to Partners  Basic Process Flows  Execution on RAC/Grid  HTML metadata reports, Scripting and SQL views Core ETL Functionality

39.  Experts  Non-Oracle Target support  Graphical Data Object Editor – Relational, Dimensional, EUL  Remote Control Center (Runtime Service)  Data Viewers (Relational & Dimensional) in maps  Fiscal Time Dimension incl. Data loaders  Integrated OMB*Plus Client  Asynchronous Job Deployment & execution  User-defined data types  Runtime metadata transformations Core ETL New Features

40.  Usability – New Common Editor Framework – Modules as source &/or target – Security Management – Printing – Location Management – Install – Simplified/unified Repository – “Right-mouse-click” Deployment – Unified Browser Reporting environment – BI Definition Derivation Core ETL New Features

41. Core ETL Enhancements UI Look & Feel Improvements 10g Release 2 10g Release 1

42.  Dimensional  Calculated Measure Generation  Advanced Cube Aggregation ­MV’s for ROLAP, AGGMAPS for MOLAP  Oracle OLAP 10g R2 via AWXML ­Sparsity ­Compressed Cube ­Partitioning  Dimension Roles  Dimension Import  Surrogate Key Management  Auto and manual binding for relational dimensions Core ETL Enhancements

43.  Data Quality  Improved Match/Merge functionality  Parallelized Name & Address cleansing  Other  Advanced Aggregation Options  Physical Storage Data Object properties  Scripting support for advanced deployment (upgrade, replace)  Materialized views  Multi-File support for SQL*Loader  Forced ‘Single Flavor Codegen’ (enables Analytic SQL expressions) Core ETL Enhancements

44. Enterprise ETL Option Enable Large Scale, Complex Deployments Other New OWB Functionality shipped as Database Options Core ETL Features Core ETL Features Easily load Data into Oracle Database Data Quality Option Option Convert Data to Quality Information on an ongoing basis ERP/CRM Connectors Extract from common ERP/CRM (SAP etc.)

45. Core ETL Features Core ETL Features Easily load Data into Oracle Database  Only available with Enterprise Edition of database Enterprise ETL Option Enterprise ETL Option Enable Large Scale, Complex Deployments

46. Includes  Improves performance & scalability of ETL jobs  Interactive Lineage & Impact Analysis  User-defined Objects, Relationships and modules  Advanced Process Flow Functionality  Change propagation  XML file as Target  Pluggable Mappings  Support large Business Intelligence deployments – Business Intelligence Beans Generation – Discoverer EUL direct deployment Enterprise ETL Option

47. Core ETL Features Core ETL Features Easily load Data into Oracle Database  Only available with Enterprise Edition of database Data Quality Option Enterprise ETL Option Enable Large Scale, Complex Deployments Data Quality Option Option Convert Data to Quality Information on an ongoing basis

48.  Discover Data Anomalies  Identify Data Rules  Auto-correction of Data Anomalies  Audit ETL jobs (and take action if data quality is too low) Data Quality Option

49. Enterprise ETL Option Enable Large Scale, Complex Deployments  Only available with Enterprise Edition of database CRM/ERP Connector Option Core ETL Features Core ETL Features Easily load Data into Oracle Database Data Quality Option Option Convert Data to Quality Information on an ongoing basis ERP/CRM Connectors Extract from common ERP/CRM (SAP etc.)

50.  Extraction from ERP/CRM sources  Oracle E-Business Suite  Peoplesoft  SAP CRM/ERP Connector Option

51. Summary: OWB 10gR2 Enabling Quality Information  Data Profiling  New Data Sources and Targets  Enhanced ERP Integration  Transportable Modules  Scheduled Process Execution  User-defined Objects & Icons Enabling Business Intelligence  Relational and Dimensional Data Object Designer  Business Intelligence Object Derivation Enabling Expertise Capture  Experts

52. More Information  http://www.oracle.com/technology/products/owb http://www.oracle.com/technology/products/owb – Collateral – Software – Component Exchange – Discussion forum – SDK – Customer Testimonials – Partner Information

53. Demo  Data Sources  Data Targets  Mappings  Process Flows  Configuration  Metadata Integration  Experts  Data Quality (Data Profile)  BI Integration  Scalability/Performance