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Oncor’s Enterprise Information Management Program: Framework, Vision, and Governance

This document outlines the comprehensive Enterprise Information Management (EIM) Program at Oncor, detailing its framework, vision, and strategy. It covers essential aspects such as enterprise architecture, core business processes, governance, and data quality management. The EIM framework emphasizes the importance of data security, stewardship, and adherence to best practices. Additionally, it defines roles and responsibilities, ensuring alignment between business and IT objectives while detailing the technological infrastructure and policies necessary for effective data management and utilization.

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Oncor’s Enterprise Information Management Program: Framework, Vision, and Governance

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  1. Oncor’s EIM Program

  2. EIM Framework Enterprise Vision & Strategy Enterprise Architecture Enterprise Business & IT Core Processes Enterprise Business & IT Organizations Enterprise Infrastructure EIM Vision & Strategy EIM Governance EIM Core Processes EIM Organization EIM Infrastructure Data Quality Vision Sponsorship CSFs & KPIs Information Architecture Blueprint Management Data Integrity Mission Data Security & Protection Structure (Virtual, Hybrid……) Stewardship Technologies (DBMS, Content Mgmt, ETL, EAI, EII, Data Modeling, BI/DW, Collaboration…..) Data Lifecycle Management Strategy Roles & Responsibilities Policies, Principles & Tenets Data Movement Semantics Management Goals & Objectives Functional Services Alignment Database Management Knowledgebase and Repositories Master Data Management Value Propositions Business Value and Relationship Management Structure Information Services Standards & Best Practices Services & Support

  3. EIM Governance Sponsorship Stewardship Policies, Principles & Tenets Alignment Structure EIM Governance • Established sponsorship with the CIO • Established a data management team • Established a data governance policy: • Data Governance • Data Architecture • Data Privacy & Security • Data Retention & Archiving • Master Data Management • Data Quality Management • Developing the governance structure

  4. EIM Infrastructure Information Architecture Blueprint Management Technologies (DBMS, Content Mgmt, ETL, EAI, EII, Data Modeling, BI/DW, Collaboration…..) Knowledgebase and Repositories Standards & Best Practices EIM Infrastructure • Established information architecture blueprint and validated with IBM concepts • Key technologies – Oracle, Informix, Tibco, Informatica, Cognos, Metadata Workbench, Information Analyzer, Business Glossary etc. • Key technologies – SharePoint • IEC, IEEE, NIST, SGIP, OpenSG

  5. EIM Core Processes Data Quality Data Integrity Data Security & Protection Data Lifecycle Management Data Movement Semantics Management Database Management Master Data Management Information Services Services & Support • Data Management Charter • Data Security Technology • Confidentiality • Access Control • Identity Management • Integrity • Availability • Authenticity • Usability & Interoperability • Non-Repudiation • Authorization • Privacy • Monitoring • Data Policies • Data Management & Business Process Management • Data / Document Controls • Common Information Model • ETL Interfaces • Web Service Interfaces • Categorize Key Information per Application • Data Loss Prevention EIM Core Processes

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