1. Enterprise Information Management
Vision &
Strategy
Governance
Architecture
Delivery
OpenSG EIM Task Force
July, 2011

2. Contents Background Approach Organization
Definition
Vision
Guiding Principles
Approach
Framework
Prioritization
Organization
Program Structure
Roles and Responsibilities
SmartGrid Reference Architecture – Data Services
Other Related Work

3. Background Definition: Vision: Guiding Principles:
EIM is an enterprise program that plans for, manages, structures, and provides information assets (structured and unstructured) to maximize the value of information for decision making, operations, and corporate strategy.
Vision:
Create an operating model that , a) optimizes the use of information created, obtained, analyzed, and acted upon by all stakeholders, and b) serves as the authoritative source for services, shared components, and practices.
Guiding Principles:
Minimize the disruption to current efforts
Ensure all efforts are going in the same direction
Ensure consistency and reusability
Minimize redundancy (duplicate efforts)
Ensure value realization

4. EIM Framework Primary Focus
Addressed as needed to support Primary Focus areas
Primary Focus
Vision & Strategy
Governance
EIM Core Processes
Organization
Tools & Technologies
Vision
Sponsorship
Data Quality
CSFs & KPIs
Information Architecture Blueprint Management
Data Integrity
Data Security & Protection
Mission
Stewardship
Structure (Virtual, Hybrid, …)
Technologies (DBMS, CMS, ETL, EAI, EII, Data Modeling, BI/DW, Collaboration)
Data Lifecycle Management
Data Movement
Strategy
Policies, Principles & Tenets
Roles & Responsibilities
Semantics Management
Database Management
Goals & Objectives
Alignment
Functional Services
Knowledgebase & Repositories
Master Data Management
Information Services (A&R)
Value Propositions
Structure
Business Value & Relationship Management
Standards & Best Practices
Services & Support
Source: Xtensible Solutions

5. EIM Prioritization Prioritization Scoring HIGH MEDIUM LOW
Information Services (A&R)
Data Security & Protection
Master Data Management
Data Governance
Data Quality
Database Management
Semantics Management
Data Integrity
Data Movement
Data Lifecycle Mgmt
Services & Support
Information Architecture
Organization (Roles & Responsibilities, Structure, KPIs, Org Readiness)
Tools & Technologies
Define, Plan, Implement
Define, High Level Plan
Define
Prioritization Scoring
Component
EIM Foundational
Importance to Business
Current Maturity Level
Data Governance
High
Low
Data Quality
Medium
Data Integrity
Data Security & Protection
Data Lifecycle Mgmt
Data Movement
Component
EIM Foundational
Importance to Business
Current Maturity Level
Semantics Management
High
Low
Database Management
Medium
Master Data Management
Information Services (A&R)
Services & Support
Information Architecture

6. Program Structure Working Teams Enterprise Information Governance
(Business)
Program Director
Executive Sponsors
(IT)
Key Stakeholders
(Business)
Key Advisors
(IT)
Steering Team
Functional
Architectural
Technical
Program Manager
Prioritization
Funding
Escalation
Strategy & direction
Integration
Marketing & communication
Working Teams
Data Governance
Data Lifecycle Mgmt
Info Services (A&R)
Semantics Mgmt
Info Architecture
Data Movement
Info Services (Tech)
Data Quality/Integrity
Master Data Mgmt
Data Security

7. Roles & Responsibilities
Program Director
Single point of accountability for all program activities
Escalation point for program level decisions and issue resolution
Delivery of communications and marketing
Steering Team
Overall direction setting and decision making
Operational support to working teams
Process and governance
Functional Lead
Single point of accountability for all functional activities
Consultation, planning & client service
Requirements gathering & functional solution design
Functional configuration
Integration with BU EIM initiatives & roadmap
Architectural Lead
Single point of accountability for all ETAE (architecture & engineering) activities
Architectural solution design
Integration with Enterprise Architecture
Cross functional impact assessment
Tool capabilities
BU level data architecture
Technical Lead
Single point of accountability for all TDM (technical build and run) activities
Technical design
Technical build
System maintenance & operation
Patch management
Custodial work (capacity, archival, integrity)
Data security
Tool implementation & support
Program Manager
Program management and support
Program integration
Strategy development and alignment
Direction setting for working teams
Communications and marketing development
Best practices research
Working Teams
Single point of accountability for all component level activities
Review and assess projects to determine EIM implications
Oversee EIM-related activities on identified projects
Oversee EIM-related activities specific to component build-out
Raise awareness of new EIM-related efforts when discovered
Integrate with other working teams when appropriate
Escalate issues (program and operational) to Steering team as necessary

8. SmartGrid Reference Architecture
Data Services

9. SmartGrid Reference Architecture Goals & Principles – Data Services
Ensure business decisions are based on information from appropriate trusted data sources
Motivations:
Achieve highest degree of integrity and validity for business decisions
Minimize IT costs for managing and maintaining data
Enhance ease of doing business by eliminating manual data integration, normalization, etc
Implications:
Practitioners more likely to know what trusted sources exist, and which ones to use
Solution teams realize reduced cost benefits using appropriate trusted sources
Develop data models and a data dictionary for the entire portfolio
Improve operational excellence
Reduce unnecessary transformations of data and related re-work
Enable meta data sharing for exchange and integration purposes
Improve future system design and programming projects
Improved documentation and control mechanisms
Project teams bound by data model/dictionary governance processes
Close collaboration between business and IT stakeholders
Easy access to data model/dictionary given to designers and programmers
Master data – element created from one trusted source
Motivations:
Increased data integrity and reliability
Cost reduction for managing information and data quality
Implications:
Consistently invest in, and comply with, the trusted sources architecture
Processes engineered to maintain consistent master data management and consumption
Only store copies of data within approved trusted sources
Achieve highest degree of integrity and validity for business decisions
Minimize ICT costs for managing and maintaining data
Enhance ease of doing business by eliminating manual data integration, normalization, etc.
Practitioners more likely to know what trusted sources exist, and which ones to use
Solution teams realize reduced cost benefits using appropriate trusted sources
Data currency is in line with business expectations.
Implement data quality plans for all business solutions
Maximize data integrity and validity for business operations and decision making
Avoid operational disruption due to data errors
Reduce cost and complexity
Real cost implications associated with avoidance of data quality plans
Data quality easier to implement and sustain

10. Other Related Work