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Enterprise Information Management at AEP Frank Wilhoit, Information Architect 9 March 2011.

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Presentation on theme: "Enterprise Information Management at AEP Frank Wilhoit, Information Architect 9 March 2011."— Presentation transcript:

1 Enterprise Information Management at AEP Frank Wilhoit, Information Architect 9 March 2011

2 Agenda AEP Overview Technology Portfolio EIM Philosophy Implementation Approaches Questions?

3 AEP Statistics AEP is an integrated utility with lines of business for Generation, Distribution, and Transmission. ~ 38 GW of generation capacity in the United States. Largest transmission system (~ 39000 miles). Serves > 5M customers in 11 states: OH, MI, IN, KY, VA, WV, TN, OK, TX, AR, LA. ~1.4M smart meters in TX, ~120K in OH, < 20K each in IN and OK

4 Technology Portfolio AMI: Landis+Gyr (TX) and Silver Spring (IN, OH, OK) MDM: Oracle (ex Lodestar) CIS: mainframe, homebrew (based on CustomerOne) OMS: GE PowerOn DMS: GE ENMAC  GENe Ventyx AssetSuite, Logica STORMS, Itron LD-PRO, etc. ad infinitum This slide and the preceding one came to data volume. Hold That Thought.

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6 CIM == Global Content Model IEC 61968 – Published Part 9 : metering Part 3 : outage management Part 4 : asset management / geospatial – In-progress Part 8 : customer IEC 62325 : Energy markets

7 Information is More Than Content Why is data volume a problem? – Because we don’t know how to manage it. Why do we not know how to manage it? – Because we haven’t modelled the behavior of the information that it represents. Behavior == Process CIM doesn’t have this (yet?)

8 How Do You Model Process? Ask people to tell/show you what they do. – This did not work for us. It probably doesn’t matter why. OR Follow your information. – Trace object lifecycles from creation, through enrichment/evolution, to irrelevance. – These are the processes that actually happen within your systems.

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10 The Ontology is the Universal Enabler Actionable metadata – Content – Behavior Maintain as UML models (like CIM, but including behavior) Generate all downstream artifacts – Code (Java, C/C++, C#, whatever) – Database schema – Test cases – Documentation We’re not there yet

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