1. C onsistent Data For Faster & Better Decision Making P RESENTED AT AEIC L OAD R ESEARCH A NNUAL M EETING M YRTLE B EACH, S OUTH C AROLINA J ULY 2005 By S YED A LEEM DTE E NERGY L OAD R ESEARCH D ATA M ART V ISION

2. Load Research groups have continuously struggled to receive timely and accurate data from corporate billing systems. Quality billing system data is in greater demand than ever. BILLING DATA – A VALUABLE RESOURCE

3.  Conceptual Overview of Data Mart  Role of LDM  Benefits of LDM  Drivers to LDM Development  Implementation (Solution/Security/Maintenance) (Solution/Security/Maintenance)  Deliverables  Success  Vision  Conclusion T OPIC OF D ISCUSSION

4. A data mart is a collection of subject specific transaction data contained in the corporation’s multiple operational or production systems. Data marts are developed with a focused objective that helps departments to strategize based on analysis of past trends and experiences. C ONCEPTUAL O VERVIEW What is a Data mart?

5. From Support Systems LDM * Customer Info * Site Info * SIC Code * Energy * Demand * Revenues From Billing Systems * Load Factor Calc. * Hours Use Calc. * Demands Calc Using DCT. * Choice To Bundled Relationships Calculated Values * Samples Interval Demand Data* Billing Interval Demand Data* Meter Data * Margin Analysis * Detailed SIC Classification Analysis * Detailed Class Analysis * Bill Frequencies * Billing Determinants Value Added LDM Dataflow R OLE OF LDM

6. Benefits can be categorized into:  Business Benefits  Operational Benefits  Information Technology Benefits B ENEFITS OF LDM

7.  Easily Accessible Data  Analyze Large Amount of Data  Consolidated Data  Increased Productivity  Consistent View of Data B USINESS B ENEFITS

8.  Relieves Production Systems of Performing Decision Support  Summarized Data  Unlimited Access to Users O PERATIONAL B ENEFITS

9.  Flexible Architecture for Enhancements  Less Load on Production Systems  Eliminates Enhancements to Production Systems  High Quality Data I NFORMATION T ECHNOLOGY B ENEFITS

10. D RIVERS TO LDM D EVELOPMENT Customer Information & Billing Data Files LRDB Residential & Small Commercial Customers Billing System LR Extract Architecture

11.  Analysis of Existing Process  Identify Key Users/Requirements  Identify Subject Areas  Perform Data Analysis  Database Physical Design  Extraction & Loading Process  Security  Maintenance I MPLEMENTATION

12.  Billing Determinants  Bill Frequency  Class Analysis  Unbilled Revenues  Individual Customer/Site Analysis  Customer Counts  Billed Usage and Summed Interval Demands Validation  Class Average Demands D ELIVERABLES

13. Major Contributor to  DTE’s Three Rate Cases  Electric Rate Case Interim Order Implementation  PSCR and Equalization Adjustments Refunds  Michigan Electric Choice Legislation reform efforts  AES Collaborative Meetings Provides information to Pricing, Cost of Service, Forecasting, Legislative and Marketing Teams S UCCESS

14. LDM is a vision of the Load Research team to be self reliant and have access to consistent and reliable billing data V ISION

15.  Sample Design  Class Analysis (Total System Analysis) (Total System Analysis)  Allocation Schedule Development  Substation Load Analysis  Data Elements Description V ISION Enhancements:

16. LDM is supporting Load Research’s goal to be a leader in formulating corporate initiatives and strategies. C ONCLUSION

17. Syed, Wait! I have a Question..