Shivmohan Purohit , Datawarehousing and business intelligence discussion introduction

1. Dataware Housing & Business Intelligence An Overview By Shivmohan Purohit

3. What a firm/ Organization want to know…. Which are our lowest/highest margin customers ? Who are my customers and what products are they buying? Which customers are most likely to go to the competition ? What impact will new products/services have on revenue and margins? What product prom- -otions have the biggest impact on revenue? What is the most effective distribution channel?

9. Type of DW Users Explorers : Seek out the unknown and previously unsuspected rewards hiding in the detailed data Farmers : Harvest information from known access paths Tourists: Browse information

10. Application-Orientation vs. Subject-Orientation Application-Orientation Operational Database Loans Credit Card Trust Savings Subject-Orientation Data Warehouse Customer Vendor Product Activity

11. Functioning of Data warehousing Data Source Cleaning Transformation Data Warehouse New Update

12. Data Warehouse Architecture Data Warehouse Engine Optimized Loader Extraction Cleansing Analyze Query Metadata Repository Relational Databases Legacy Data Purchased Data ERP Systems

18. “ Slicing and Dicing” Product Sales Channel Regions Retail Direct Special Household Telecomm Video Audio India Far East Europe The Telecomm Slice

22. Data Mining (cont.)

24. Data Mining Process Cleaning and Integration Databases Data Warehouse Flat Files Patterns Knowledge Selection and transformation Data Mining

25. Thanks Shivmohan Purohit Q &A Discussion