1. Data Warehousing & Business Intelligence Introduction What do you think of when you hear the words Data Warehousing ? Prithwis Mukerjee, Ph.D.

3. The Knowledge Management Framework © Prithwis Mukerjee Data Structure Technology Infrastructure Management Business Applications Information Technology Process People

4. How it all fits in .. © Prithwis Mukerjee Database CRM : Customer Relationship Management Transactional Systems ERP : Enterprise Resource Planning SCM : Supply Chain Management Data Warehouse

5. Typical Business Uses of the Data Warehouse © Prithwis Mukerjee Target Advertising campaigns Strategic Initiatives Business Processes Functions Profitability Analysis Market Basket Analysis Product Pricing Cross-selling and upgrade selling Just-in-Time Inventory Category Management Human Resources Management Determine Customer Lifetime Value Predict Customer Behavior Management Reporting Customer Acquisition and Retention

6. Benefits of the Data Warehouse Program © Prithwis Mukerjee Improves the way we do business and the bottom line Revenue Stimulation & Revenue Protection Cost Reduction and Cost Avoidance Productivity Improvement Profitability Enhancement Performance Analysis DecisionMaking Market Response Competitive advantage

7. Non-integrated Decision Support Architecture © Prithwis Mukerjee DSSs,Report writers, Excel, databases, etc. Data Feeds Budgeting Analysis Sales Forecasting Inventory System Order System Procurement System Accounting System

8. Basic Data Warehouse Architecture © Prithwis Mukerjee Enterprise DW/ODS Subject oriented Data Warehouses or Data Marts One Stop Data Shopping Fewer Data Feeds Inventory System Order System Procurement System Accounting System

19. Knowledge Management Architecture © Prithwis Mukerjee Metadata Source Data Purchasing Systems General Ledger Other Internal Systems External Data Sources Data Resource Management And Quality Assurance . Invoicing Systems Data Extraction Integration and Cleansing Processes Extract ODS Purchasing Marketing and Sales Corporate information Product Line Location Translate Attribute Calculate Derive Summarize Synchronize Segmented Data Subsets Summarized Data Data Warehouse Applications Custom Developed Applications Data Mining Statistical Packages Query Access Tools Data Marts Transform

20. The Business and The IT Perspective © Prithwis Mukerjee Business What will it do? What value will it bring? How is it built? How does it work? Information Technology Data Warehouse

24. Data Warehouse System Development Life Cycle © Prithwis Mukerjee CONSTRUC- TION IMPLEMEN- TATION DESIGN ANALYSIS PLANNING MANAGING Business Architecture Data Architecture Technology Architecture Management Infrastructure

25. © Prithwis Mukerjee stop