MEDICAL MUTUAL OF OHIO Corporate Data Warehouse January 17, 2000 By Terry Cleary Alycia Lieber Mike Mina

Corporate Data Warehouse Summary Conventional mainframe tables High IS maintenance High query complexity High user knowledge of structure Stovepipe datamarts Current Corporate Data Structure Future Corporate Data Structure High Level Enterprise Model Low IS maintenance Low query complexity Low user knowledge of structure Compatible datamarts

Corporate Data Warehouse Project Organization Executive Sponsor: CIO Steering Committee:V.P., Information Systems Dev. Mgr., Information Systems Dev. Dir., Database Services Project Manager: Mgr., Information Systems Dev. Project Leader:Programmer/Analyst IV Project Team:Programmer Analyst IV Data Analyst Database Administrator Business Sponsors:Business Area Manager Subject Matter Expert

Corporate Data Warehouse Project Deliverables Establish business rules for Sales & Marketing Data Mart Design Data Mart structure for Sales & Marketing Data cleansing/transformation process in place Implement Data Mart structure for Sales & Marketing Create recommendation for future MMO Data Marts Determine candidate business areas for additional marts Evaluation approach for ETL tools

Corporate Data Warehouse Sales & Marketing Data Mart Structure

Corporate Data Warehouse The Iterative Data Mart Approach

Costs Scarcity of experts Resources Training Integration Corporate Data Warehouse Cost Benefit Analysis Benefits Market Leadership Discovery of trends and patterns Unified views of data System extraction of data Supply information any time,anywhere for effective decision making Reduce duplication of data Provide quality, integrated metadata Reduced dependence on IS

Corporate Data Warehouse Next Steps Move to distributed environment/web enablement High level Enterprise Data Model MOLAP Additional Data Marts