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L OAD R ESEARCH D ATA M ART. V ISION. 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. BILLING DATA – A VALUABLE RESOURCE.
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LOADRESEARCHDATAMART VISION Consistent Data For Faster & Better Decision Making PRESENTED AT AEIC LOAD RESEARCH ANNUAL MEETING MYRTLE BEACH, SOUTH CAROLINA JULY 2005 By SYED ALEEM DTE ENERGY
BILLING DATA – A VALUABLE RESOURCE 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.
TOPIC OF DISCUSSION Conceptual Overview of Data Mart Role of LDM Benefits of LDM Drivers to LDM Development Implementation (Solution/Security/Maintenance) Deliverables Success Vision Conclusion
CONCEPTUAL OVERVIEW What is a Data mart? 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.
From Support Systems LDM Dataflow * Samples Interval Demand Data * Billing Interval Demand Data * Meter Data From Billing Systems Calculated Values LDM * Customer Info * Site Info * SIC Code * Energy * Demand * Revenues * Load Factor Calc. * Hours Use Calc. * Demands Calc Using DCT. * Choice To Bundled Relationships Value Added * Margin Analysis * Detailed SIC Classification Analysis * Detailed Class Analysis * Bill Frequencies * Billing Determinants ROLEOF LDM
BENEFITS OF LDM Benefits can be categorized into: Business Benefits Operational Benefits Information Technology Benefits
BUSINESS BENEFITS Easily Accessible Data Analyze Large Amount of Data Consolidated Data Increased Productivity Consistent View of Data
OPERATIONAL BENEFITS Relieves Production Systems of Performing Decision Support Summarized Data Unlimited Access to Users
INFORMATION TECHNOLOGY BENEFITS Flexible Architecture for Enhancements Less Load on Production Systems Eliminates Enhancements to Production Systems High Quality Data
DRIVERS TO LDM DEVELOPMENT LR Extract Architecture Residential & Small Commercial Customers Billing System LRDB Customer Information & Billing Data Files
IMPLEMENTATION Analysis of Existing Process Identify Key Users/Requirements Identify Subject Areas Perform Data Analysis Database Physical Design Extraction & Loading Process Security Maintenance
DELIVERABLES Billing Determinants Bill Frequency Class Analysis Unbilled Revenues Individual Customer/Site Analysis Customer Counts Billed Usage and Summed Interval Demands Validation Class Average Demands
SUCCESS 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
VISION LDM is a vision of the Load Research team to be self reliant and have access to consistent and reliable billing data
VISION Enhancements: Sample Design Class Analysis (Total System Analysis) Allocation Schedule Development Substation Load Analysis Data Elements Description
CONCLUSION LDM is supporting Load Research’s goal to be a leader in formulating corporate initiatives and strategies.
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