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  • Many Vendors Many Products Many Moving Parts Not designed to work together Protracted and complex implementation Escalating maintenance costs Poor and imcomplete BI solution
  • Lloyds TSB – building data marts to provide an integrated, 360-degree view of performance across all product lines Virgin mobile - Creatd a large, robust warehouse of 600 gigabytes of information, giving it a complete view of its customers Swisscom – Billing, contract, customer sales 2Tb warehouse. Migration from Informatica ABB – Metadata solution Cern – Project and expenditure management project Walter Reed Army Medical – 2005 dm review finalist – buidling medical DW with owb, data mining and disco BAe Systems - Unique due to sourcing Oracle Apps into custom DW & a stack reference (use Disco). DW on top of Oracle Projects ABSA - 20-node RAC DW, 50 OWB developers - Basel II system Metcash – “Extraction Times Cut by up to 90% as Data Grows Ten-Fold“. Dramatically improved the availability and accuracy of sales data for Metcash's category buyers, relationship managers, pricing strategists, and the senior executive team. Honeywell Automation and Control Systems– Sales support data warehouse with Portal Telecom Italia Colt – Invoice controlling, traffic analysis and trend analysis GlaxoSmithKline – Denver Public Schools – No child left behind information backbone, full Oracle stack implementation Duke Energy – data silo consolidation across the enterprise, 17 OWB developers. State of Louisiana – enabling a complete oracle BI stack system dw with owb FIAT – CRM data warehouse Etos – retail data warehouse Paro/Tani – data warehouse to monitor campaign performance Ferrero – Distribution and logistics data warehouse New Zealand Post - data warehouse platform that supports a singular view of customers across the whole business. Use OWB for extract-transform-load management. Stakes - Central repository for healthcare information and indicators gathered from local healthcare providers across Finland Stuart Maue - data warehouse to store and manage client legal invoices. The system manages the past three years worth of legal invoices totaling over $300,000,000 in fees and expenses. Bank of Hawaii - Oracle DW in small RAC cluster and I am sure would love a closer relationship with Oracle Development.   Merkur-Spielothek – data warehouse for BI reporting. Using OWB for data modelling and depicting maps from the source systems to the target data model.
  • Improves performance & scalability of ETL jobs Transportable Tablespaces Data Pump Target load Ordering Design-Time Repository installed on RAC Interactive Lineage & Impact Analysis User-defined Objects, Relationships and modules Advanced Process Flow Functionality Activity templates, looping, Route, Notifications Change propagation XML file as Target Pluggable Mappings Support large Business Intelligence deployments Business Intelligence Beans Generation Discoverer EUL direct deployment
  • owb_v2.ppt

    1. 1. Oracle Business Intelligence & Data Warehousing Overview Sankar Bala DW/BI Specialist [email_address] 469.583.0261
    2. 2. What is intelligent data? Business Analytics Information Made Powerful <ul><li>Automated management reporting </li></ul><ul><li>KPIs </li></ul><ul><li>Driver based forecasting </li></ul><ul><li>Near real-time view of business </li></ul><ul><li>Actionable projections </li></ul><ul><li>Performance Management / measurable accountability to results </li></ul>Data Made Meaningful <ul><li>Standardize business logic and rules </li></ul><ul><li>Process controls & data integrity </li></ul><ul><li>Single source of data </li></ul><ul><li>Official source for financial, sales, operational and management reporting </li></ul>Raw Data <ul><li>Legacy systems with a long heritage </li></ul><ul><li>Mission critical applications (ERP, Billing, Merchandising, etc…) </li></ul>Data Collection Enterprise Data Warehouse Source Systems Sales/Inv Data Process Controls and Data Integrity Information Value <ul><li>Data is made meaningful when there are standardized definitions, process controls and a focus on data integrity </li></ul><ul><li>Information is made powerful when this transformed data is used by management to improve business efficiency </li></ul>Operations Data Finance Data
    3. 3. Road to Success Success criteria: <ul><li>Business Strategy </li></ul><ul><ul><li>Improve Top Line Sales </li></ul></ul><ul><ul><li>Improve Margin </li></ul></ul><ul><ul><li>Increase customer service </li></ul></ul><ul><ul><li>Increase accountability </li></ul></ul><ul><li>People </li></ul><ul><ul><li>Actionable Information </li></ul></ul><ul><ul><li>Accessibility of Information </li></ul></ul><ul><ul><li>Varying skill levels </li></ul></ul>Legacy Environment New BI Solution <ul><li>Processes </li></ul><ul><ul><li>Data Quality </li></ul></ul><ul><ul><li>Standard Business Language </li></ul></ul><ul><ul><li>Standard Metrics & KPI’s </li></ul></ul><ul><li>Technology </li></ul><ul><ul><li>Scalability </li></ul></ul><ul><ul><li>Stability </li></ul></ul><ul><ul><li>Flexibility </li></ul></ul><ul><ul><li>Mainstream </li></ul></ul>People Business Strategy Processes Technology Realizing your corporate Strategy will require the integration of people, process and technology
    4. 4. Typical BI Environment Lineage Query & Analysis Name/Address Scrubbing ETLTool Transformation Engine Mining Engine Database OLAP Engine Analytic Apps Reporting Engine Enterprise Reporting Portal ETL Tool Transformation Engine 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. 5. Typical BI Environment <ul><li>RDBMS </li></ul><ul><li>ETL </li></ul><ul><li>Cleansing </li></ul><ul><li>Lineage </li></ul><ul><li>OLAP </li></ul><ul><li>Data Mining </li></ul><ul><li>Query & Reporting </li></ul><ul><li>Enterprise Reporting </li></ul><ul><li>Analytical Applications </li></ul><ul><li>Portal </li></ul>
    6. 6. What About ? <ul><li>GIS </li></ul><ul><li>Collaboration </li></ul><ul><li>Unstructured Data </li></ul><ul><li>Enterprise Security </li></ul><ul><li>Identity Management </li></ul><ul><li>Application Integration </li></ul><ul><li>Metadata Management </li></ul><ul><li>Business Activity Monitoring </li></ul><ul><li>Business Process Flow Management </li></ul>
    7. 7. Only ORACLE Can ! <ul><li>RDBMS </li></ul><ul><li>ETL </li></ul><ul><li>Cleansing </li></ul><ul><li>Lineage </li></ul><ul><li>OLAP </li></ul><ul><li>Data Mining </li></ul><ul><li>Query & Reporting </li></ul><ul><li>Enterprise Reporting </li></ul><ul><li>Analytical Applications </li></ul><ul><li>Portal </li></ul><ul><li>GIS </li></ul><ul><li>Collaboration </li></ul><ul><li>Unstructured Data </li></ul><ul><li>Enterprise Security </li></ul><ul><li>Identity Management </li></ul><ul><li>Application Integration </li></ul><ul><li>Metadata Management </li></ul><ul><li>Business Activity Monitoring </li></ul><ul><li>Business Process Flow Management </li></ul>
    8. 8. Simplify <ul><li>Eliminate redundancy </li></ul><ul><li>Reduce number of moving parts </li></ul><ul><li>Develop “best practice” architecture </li></ul>Lineage Query & Analysis Name/Address Scrubbing ETLTool Analytic Apps Reporting Engine Enterprise Reporting Portal ETL Tool Transformation Engine Database Transformation Engine Mining Engine OLAP Engine
    9. 9. Simplify Lineage Query & Analysis Name/Address Scrubbing ETLTool Analytic Apps Reporting Engine Enterprise Reporting Portal ETL Tool Transformation Engine Database Transformation Engine Mining Engine OLAP Engine <ul><li>Metadata Mgmt </li></ul><ul><li>Enterprise Security </li></ul><ul><li>Application Integration </li></ul><ul><li>Collaboration </li></ul><ul><li>Identity Mgmt </li></ul><ul><li>Business Process Flow Mgmt </li></ul><ul><li>Unstructured Data </li></ul><ul><li>GIS </li></ul>
    10. 10. DW/BI Products <ul><li>Oracle Business </li></ul><ul><li>Intelligence EE </li></ul><ul><li>Analytic Server </li></ul><ul><li>Query & Analysis </li></ul><ul><li>Dashboards </li></ul><ul><li>Reporting & Publishing </li></ul><ul><li>Sense & Respond </li></ul><ul><li>Offline Analytics </li></ul><ul><li>MSFT Office Add-In </li></ul><ul><li>Server Administration </li></ul><ul><li>Oracle Business </li></ul><ul><li>Intelligence SE </li></ul><ul><li>Discoverer </li></ul><ul><li>Discoverer OLAP </li></ul><ul><li>Discoverer Plus </li></ul><ul><li>Discoverer Viewer </li></ul><ul><li>Reports </li></ul><ul><li>BI Beans </li></ul><ul><li>MSFT Office Add-In </li></ul><ul><li>Oracle Business </li></ul><ul><li>Intelligence SE-1 </li></ul><ul><li>SE1 Database </li></ul><ul><li>ETL </li></ul><ul><li>Analytic Server </li></ul><ul><li>Query & Analysis </li></ul><ul><li>Dashboards </li></ul><ul><li>Server Administration </li></ul><ul><li>Targeted to SME Customers </li></ul>Oracle Database ETL, OLAP, Data Mining
    11. 11. Oracle10g Warehouse Builder
    12. 12. What is Oracle Warehouse Builder? <ul><li>Enables the extraction, transformation, and loading of data to produce quality information in the Oracle database </li></ul><ul><li>Protects and leverages customer investment in the Oracle technology stack through data and metadata integration </li></ul>
    13. 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 &quot;Leaders&quot; 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. 14. Sample Customers
    15. 15. Design and Deployment With Oracle Warehouse Builder <ul><li>Oracle9i/10g </li></ul><ul><li>OLAP </li></ul><ul><li>Flat file </li></ul><ul><li>BI tools </li></ul><ul><li>Relational </li></ul><ul><li>Flat Files </li></ul><ul><li>Applications </li></ul><ul><li>Mainframe </li></ul>Design Target Objects 1 Map & Transform 3 Generate & Validate 4 Deploy Code 5 Run 6 2 Extract Source Metadata
    16. 16. 10 g R2 themes <ul><li>Enabling Quality Information </li></ul><ul><li>Enabling Business Intelligence </li></ul><ul><li>Enabling Expertise capture </li></ul>
    17. 17. Enabling Quality Information Metadata Management Capture Metadata Process Flow Profile Data Data Rules Data Flow Deploy Execute Information Data Quality Assessment Quality Design Quality Transformation Quality Monitoring
    18. 18. Data Quality in OWB <ul><li>Data Quality functionalities are integrated into ETL processes </li></ul><ul><ul><li>Disciplined approach to Data Quality, not an afterthought </li></ul></ul><ul><ul><li>Data Quality is modeled, executed and audited just like any other transformation </li></ul></ul><ul><li>Consists of </li></ul><ul><ul><li>Data Profiling </li></ul></ul><ul><ul><li>Name and Address Cleansing </li></ul></ul><ul><ul><li>Match-Merge </li></ul></ul>
    19. 19. Enabling Quality Information – New in 10gR2 <ul><li>Data Quality </li></ul><ul><ul><li>Data Profiling </li></ul></ul><ul><li>Data Integration </li></ul><ul><ul><li>New Data Sources and Targets </li></ul></ul><ul><ul><li>Enhanced ERP Integration  </li></ul></ul><ul><ul><li>Transportable Modules </li></ul></ul><ul><ul><li>Scheduled Process Execution </li></ul></ul><ul><li>Application Lifecycle Management </li></ul><ul><ul><li>User-defined Objects & Icons </li></ul></ul>
    20. 20. Data Profiling <ul><li>Allow users to analyze data </li></ul><ul><ul><li>discover the structural content </li></ul></ul><ul><ul><li>capture the semantics </li></ul></ul><ul><ul><li>Identify anomalies and outliers </li></ul></ul><ul><li>Automatically derive business rules and maps to clean data </li></ul><ul><li>Derive Quality Indices (e.g. 6-sigma ) </li></ul><ul><li>Auditors monitor quality on an ongoing basis </li></ul><ul><li>Integrated as part of ETL </li></ul>Columns Pattern Format Format % Compliant Unique Hdate YYYY-MM-DD Date 82% SSN 9(3)-9(2)-9(4) US Social Security Number 3% Phone 9(3)-9(3)-9(4) US Phone Number 16% Id 9(5) <Not Found> N/A Yes Contact [email_address] Email 99% No
    21. 21. Data Profiling
    22. 22. Enabling Business Intelligence Metadata Management Derivation Preview BI Defs Generation Information Deploy Design
    23. 23. Enabling Business Intelligence – New in 10gR2 <ul><li>Relational and Dimensional Data Object Designer </li></ul><ul><li>Business Intelligence Object Derivation </li></ul>
    24. 24. Data Object Design One Editor <ul><li>Dimensions, cubes, tables, views, complex objects, … </li></ul><ul><li>Support for Star, Snowflake, Skip-Level, calculated measures, … </li></ul><ul><li>One editor for creation, configuration, validation, code generation, impact analysis, deployment, data viewing </li></ul>
    25. 25. Data Object Editor
    26. 26. Business Intelligence Object Derivation <ul><li>Create and Derive Business intelligence objects </li></ul><ul><ul><li>Oracle OLAP Cubes & Dimensions </li></ul></ul><ul><ul><li>OracleBI Discoverer EUL </li></ul></ul><ul><ul><li>OracleBI Beans Reports </li></ul></ul><ul><li>Included in Lineage and Impact analysis! </li></ul>z Relational & OLAP Catalogs, 10g Scheduler, Workflow Warehouse Builder Discoverer BI Beans Designer
    27. 27. Enabling Expertise Capture Enabling Business Intelligence BI Defs Enabling Quality Information Data Information Expertise
    28. 28. Enabling Expertise capture – New in 10gR2 <ul><li>Re-use OWB Components to build your OWN application! </li></ul><ul><ul><li>Define best practices & directed guidance </li></ul></ul><ul><li>Run Standalone or within OWB Design-time </li></ul><ul><li>Declarative Definition & Guided execution </li></ul><ul><li>E.g. “Data-Mover” Expert </li></ul><ul><ul><li>Offers users the ability to easily copy data from: </li></ul></ul><ul><ul><ul><li>Table-to-Table </li></ul></ul></ul><ul><ul><ul><li>File-to-Table </li></ul></ul></ul>
    29. 29. Expert Editor
    30. 30. <ul><li>Oracle </li></ul><ul><ul><li>Tables, Views, MViews, Queues, External Tables, Table Functions, Streams, PL/SQL API’s, Sqlloader… </li></ul></ul><ul><li>DB2, Sybase, SQLServer, Informix, Mainframes, … (Oracle Transparent Gateways) </li></ul><ul><li>ODBC </li></ul><ul><li>Flat Files </li></ul><ul><li>Applications </li></ul><ul><ul><li>Oracle Apps </li></ul></ul><ul><ul><li>Peoplesoft </li></ul></ul><ul><ul><li>SAP </li></ul></ul><ul><ul><li>Custom SQL App </li></ul></ul>Sources & Targets Sources Targets <ul><li>Oracle </li></ul><ul><ul><li>Tables, Queues, Table Functions, Streams, PL/SQL API’s, … </li></ul></ul><ul><li>DB2, Sybase, SQLServer, Informix, Mainframes, … (Oracle Transparent Gateways) </li></ul><ul><li>ODBC </li></ul><ul><li>Flat Files </li></ul><ul><li>Applications </li></ul><ul><ul><li>Oracle Apps </li></ul></ul><ul><ul><li>Peoplesoft </li></ul></ul><ul><ul><li>Custom SQL App </li></ul></ul>
    31. 31. Enhanced ERP Integration <ul><li>Metadata adapters for: </li></ul><ul><ul><li>Oracle EBusiness Suite </li></ul></ul><ul><ul><li>Peoplesoft </li></ul></ul><ul><li>Enhancements to SAP adapter: </li></ul><ul><ul><li>Direct ABAP processing </li></ul></ul><ul><ul><li>ABAP Join Ranking </li></ul></ul><ul><ul><li>Variable support </li></ul></ul><ul><ul><li>Sub-Process flow integration </li></ul></ul>
    32. 32. Transportable Modules <ul><li>Move large data volumes quickly and easily between Oracle instances </li></ul><ul><ul><li>Perform fast bulk loads </li></ul></ul><ul><ul><li>Performance & usability gains over traditional technologies (DB Links, Flat Files,…) </li></ul></ul><ul><ul><li>Technology varies according to source: </li></ul></ul><ul><ul><ul><li>9 i source - Transportable Tablespaces </li></ul></ul></ul><ul><ul><ul><li>10g source – Data Pump </li></ul></ul></ul>
    33. 33. Scheduled Process Execution <ul><li>Define complex custom calendars to control process execution </li></ul><ul><ul><li>E.g. </li></ul></ul><ul><ul><ul><li>Working Days </li></ul></ul></ul><ul><ul><ul><li>Holidays </li></ul></ul></ul><ul><li>Standard iCal format </li></ul>
    34. 34. User-Defined Objects & Icons <ul><li>User-Definable: </li></ul><ul><ul><li>Objects </li></ul></ul><ul><ul><li>Associations </li></ul></ul><ul><ul><li>Properties </li></ul></ul><ul><li>ALL in the OWB repository! </li></ul><ul><li>Custom icons for easy recognition </li></ul><ul><li>Access full metadata services of OWB e.g. impact analysis </li></ul>
    35. 35. Impact Analysis on UDO’s
    36. 36. New Segmentation of OWB Functionality 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. 37. What are the Core ETL Features? <ul><li>OWB 10gR2 Core ETL = </li></ul><ul><li>OWB 10gR1 Functionality </li></ul><ul><li>– SAP connector </li></ul><ul><li>+ Enhancements + New Features </li></ul>Core ETL Features Easily load Data into Oracle Database
    38. 38. <ul><li>Import Metadata. source Non-Oracle and Flat-files </li></ul><ul><li>Target Oracle (relational & Dimensional) and Flat-Files </li></ul><ul><li>Support for Oracle OLAP and Relational Partitioning </li></ul><ul><li>Debugging, Mapping (Aggregation, De-duplication, Joining, etc. </li></ul><ul><li>Name & Address Cleansing Interface to Partners </li></ul><ul><li>Basic Process Flows </li></ul><ul><li>Execution on RAC/Grid </li></ul><ul><li>HTML metadata reports, Scripting and SQL views </li></ul>Core ETL Functionality
    39. 39. <ul><li>Experts </li></ul><ul><li>Non-Oracle Target support </li></ul><ul><li>Graphical Data Object Editor </li></ul><ul><ul><li>Relational, Dimensional, EUL </li></ul></ul><ul><li>Remote Control Center (Runtime Service) </li></ul><ul><li>Data Viewers (Relational & Dimensional) in maps </li></ul><ul><li>Fiscal Time Dimension incl. Data loaders </li></ul><ul><li>Integrated OMB*Plus Client </li></ul><ul><li>Asynchronous Job Deployment & execution </li></ul><ul><li>User-defined data types </li></ul><ul><li>Runtime metadata transformations </li></ul>Core ETL New Features
    40. 40. <ul><li>Usability </li></ul><ul><ul><li>New Common Editor Framework </li></ul></ul><ul><ul><li>Modules as source &/or target </li></ul></ul><ul><ul><li>Security Management </li></ul></ul><ul><ul><li>Printing </li></ul></ul><ul><ul><li>Location Management </li></ul></ul><ul><ul><li>Install </li></ul></ul><ul><ul><li>Simplified/unified Repository </li></ul></ul><ul><ul><li>“Right-mouse-click” Deployment </li></ul></ul><ul><ul><li>Unified Browser Reporting environment </li></ul></ul><ul><ul><li>BI Definition Derivation </li></ul></ul>Core ETL New Features
    41. 41. Core ETL Enhancements UI Look & Feel Improvements 10g Release 2 10g Release 1
    42. 42. <ul><li>Dimensional </li></ul><ul><ul><ul><li>Calculated Measure Generation </li></ul></ul></ul><ul><ul><ul><li>Advanced Cube Aggregation </li></ul></ul></ul><ul><ul><ul><ul><li>MV’s for ROLAP, AGGMAPS for MOLAP </li></ul></ul></ul></ul><ul><ul><ul><li>Oracle OLAP 10g R2 via AWXML </li></ul></ul></ul><ul><ul><ul><ul><li>Sparsity </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Compressed Cube </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Partitioning </li></ul></ul></ul></ul><ul><ul><ul><li>Dimension Roles </li></ul></ul></ul><ul><ul><ul><li>Dimension Import </li></ul></ul></ul><ul><ul><ul><li>Surrogate Key Management </li></ul></ul></ul><ul><ul><ul><li>Auto and manual binding for relational dimensions </li></ul></ul></ul>Core ETL Enhancements
    43. 43. <ul><li>Data Quality </li></ul><ul><ul><ul><li>Improved Match/Merge functionality </li></ul></ul></ul><ul><ul><ul><li>Parallelized Name & Address cleansing </li></ul></ul></ul><ul><li>Other </li></ul><ul><ul><ul><li>Advanced Aggregation Options </li></ul></ul></ul><ul><ul><ul><li>Physical Storage Data Object properties </li></ul></ul></ul><ul><ul><ul><li>Scripting support for advanced deployment (upgrade, replace) </li></ul></ul></ul><ul><ul><ul><li>Materialized views </li></ul></ul></ul><ul><ul><ul><li>Multi-File support for SQL*Loader </li></ul></ul></ul><ul><ul><ul><li>Forced ‘Single Flavor Codegen’ (enables Analytic SQL expressions) </li></ul></ul></ul>Core ETL Enhancements
    44. 44. Other New OWB Functionality shipped as Database Options Enterprise ETL Option Enable Large Scale, Complex Deployments Core ETL Features Easily load Data into Oracle Database Data Quality Option Convert Data to Quality Information on an ongoing basis ERP/CRM Connectors Extract from common ERP/CRM (SAP etc.)
    45. 45. <ul><li>Only available with Enterprise Edition of database </li></ul>Enterprise ETL Option Core ETL Features Easily load Data into Oracle Database Enterprise ETL Option Enable Large Scale, Complex Deployments
    46. 46. <ul><li>Includes </li></ul><ul><li>Improves performance & scalability of ETL jobs </li></ul><ul><li>Interactive Lineage & Impact Analysis </li></ul><ul><li>User-defined Objects, Relationships and modules </li></ul><ul><li>Advanced Process Flow Functionality </li></ul><ul><li>Change propagation </li></ul><ul><li>XML file as Target </li></ul><ul><li>Pluggable Mappings </li></ul><ul><li>Support large Business Intelligence deployments </li></ul><ul><ul><li>Business Intelligence Beans Generation </li></ul></ul><ul><ul><li>Discoverer EUL direct deployment </li></ul></ul>Enterprise ETL Option
    47. 47. <ul><li>Only available with Enterprise Edition of database </li></ul>Data Quality Option Core ETL Features Easily load Data into Oracle Database Enterprise ETL Option Enable Large Scale, Complex Deployments Data Quality Option Convert Data to Quality Information on an ongoing basis
    48. 48. <ul><li>Discover Data Anomalies </li></ul><ul><li>Identify Data Rules </li></ul><ul><li>Auto-correction of Data Anomalies </li></ul><ul><li>Audit ETL jobs (and take action if data quality is too low) </li></ul>Data Quality Option
    49. 49. <ul><li>Only available with Enterprise Edition of database </li></ul>CRM/ERP Connector Option Enterprise ETL Option Enable Large Scale, Complex Deployments Core ETL Features Easily load Data into Oracle Database Data Quality Option Convert Data to Quality Information on an ongoing basis ERP/CRM Connectors Extract from common ERP/CRM (SAP etc.)
    50. 50. <ul><li>Extraction from ERP/CRM sources </li></ul><ul><li>Oracle E-Business Suite </li></ul><ul><li>Peoplesoft </li></ul><ul><li>SAP </li></ul>CRM/ERP Connector Option
    51. 51. Summary: OWB 10gR2 <ul><li>Enabling Quality Information </li></ul><ul><li>Data Profiling </li></ul><ul><li>New Data Sources and Targets </li></ul><ul><li>Enhanced ERP Integration </li></ul><ul><li>Transportable Modules </li></ul><ul><li>Scheduled Process Execution </li></ul><ul><li>User-defined Objects & Icons </li></ul><ul><li>Enabling Business Intelligence </li></ul><ul><li>Relational and Dimensional Data Object Designer </li></ul><ul><li>Business Intelligence Object Derivation </li></ul><ul><li>Enabling Expertise Capture </li></ul><ul><li>Experts </li></ul>
    52. 52. More Information <ul><li>http://www.oracle.com/technology/products/owb </li></ul><ul><ul><li>Collateral </li></ul></ul><ul><ul><li>Software </li></ul></ul><ul><ul><li>Component Exchange </li></ul></ul><ul><ul><li>Discussion forum </li></ul></ul><ul><ul><li>SDK </li></ul></ul><ul><ul><li>Customer Testimonials </li></ul></ul><ul><ul><li>Partner Information </li></ul></ul>
    53. 53. Demo <ul><li>Data Sources </li></ul><ul><li>Data Targets </li></ul><ul><li>Mappings </li></ul><ul><li>Process Flows </li></ul><ul><li>Configuration </li></ul><ul><li>Metadata Integration </li></ul><ul><li>Experts </li></ul><ul><li>Data Quality (Data Profile) </li></ul><ul><li>BI Integration </li></ul><ul><li>Scalability/Performance </li></ul>

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