EIM Vision & Strategy

EIM GovernanceEIM Core

ProcessesEIM Organization EIM Infrastructure

Enterprise Vision & Strategy

Enterprise Architecture

Enterprise Business & IT Core Processes

Enterprise Business & IT Organizations

Enterprise Infrastructure

Vision

Mission

Strategy

Goals & Objectives

Value Propositions

Sponsorship

Stewardship / Trusteeship

Policies, Principles &

Tenets

Alignment

Reference Model

CSFs & KPIs

Structure (Virtual,

Hybrid……)

Roles & Responsibilities

Functional Services

Business Value and Relationship

Management

Data Integrator (DS)Data Quality

Data Integrity

Data Sec/Protection

Data Lifecycle Mgmt

Data Movement/ Integration

Semantics Mgmt

Database Mgmt

Master Data Mgmt

Information Services

Services & Support

EIM Framework

Data Quality (DS)

Data Insight

Universal Data Cleanse

MetaData Manager

Master Data Managment

Autonomy (content indexing)

Enterprise Architect

SAP PI (ESB)

DBMS (various)

Bus Obj Enterprise (BI)

Bus Obj Explorer (BI)

Open Text

Information Arch

Application Arch

Infrastructure Arch

Security Arch

Corporate Performance

Goals

BTS Strategy and Goals

EIM DefinitionEnterprise information management (EIM) is an integrative

discipline for structuring, describing and governing

information assets, regardless of organizational

boundaries or technologies.

• EIM strives to improve operational efficiency, promote

transparency and enable business insight.

• The broad scope of EIM requires a level of

organizational commitment to improve the accuracy,

integrity, accessibility and security of information

assets.• The objective of EIM is to resolve data definition,

format and content issues across applications and

document stores.

EIM Mission Statement

To provide integrated enterprise level data and information, managed as a

corporate asset, within a standardized and shared infrastructure to facilitate and support integrity of data for daily operations and fact based decision

making.

EIM Scope

• All Consumers Energy data and information assets including structured data and unstructured content.

• The organization, processes, infrastructure and standards governing management of the enterprise information and content.

• Cross organizational roles and responsibilities related to management of the information assets.

• Management of information assets through the entire information life cycle from creation through disposal.

EIM BenefitsBusiness Value• Ensures that the CEA investment in common data and process is leveraged for future projects

and the business value is maximized thru data governance.• Strives to provide a single version of the truth supporting business insight.• Enables better business decisions and responsiveness to change by making timely, consistent

and accurate information readily available.

Efficiency• Enables faster and lower cost information delivery by shortening development times and

repurposing proven information services.• Supports development collaboration thru a shared central metadata repository.• Provides a stable data foundation for system integration transparency based on standards

and best practices.

Data Quality• Increases data quality thru ongoing data quality assessments and exception monitoring. • Improves the ability to derive consistent information providing the foundation for actionable

and timely business intelligence.• Builds confidence in the accuracy and relevance of information provided with data lineage

traceability.

Transparency• Promotes common understanding and sharing of information across the enterprise.• Instills business ownership and stewardship of the critical information resources.• Improves communication and reduces ambiguity within the organization by promoting

consistent data definition, format and usage standards.

EIM Vision (2015) • Data and information is

recognized and managed as a valuable corporate resource across organizational and technology boundaries.

• Information assets are managed through the entire information life cycle (creation, maintenance, access, archive and disposal) using well defined processes.

• Consistent data definition and understanding provides a common vocabulary for the business.

• Information is managed and utilized to maximize its benefit in support of the goals of the entire organization.

• A standardized information infrastructure and processes are implemented supporting data sharing and process integration.

• Information is readily available through common services on a need to know basis and is secured from unauthorized access.

• Current, complete and consistent information is readily available providing a ‘single version of the truth’ enabling business insight and fact based business decisions.

• Consumers Energy Executive management recognizes and embraces the role of EIM in achieving the corporate objectives.

Gartner - Data Management and Integration Maturity Assessment

Fragmented

Inconsistency, Redundancy

Apply standards to

individual project phases

Standardized

Consistency, Reuse, Efficiency

Effective use for driving business

strategy

Managed

Pervasive, Leverage of Skills

Information is trusted across the enterprise

Issues not recognized

Opportunistic

Rigid, Low agility

Specific set of users are

realizing value

Competency Center

Information Infrastructure

road map

Formalized DM&I

Initiative

Optimized

Flexibility, Agility, Proactiveness

Custom code

Data Fragments

Tools "chaos"

Standards and bestpractices sharing

Referenced architectures

Data services emerge

Dynamic metadata-driven data

management environment Proprietary

tools

Cost “chaos”

Data consistency

and availability

Funding from business units

on a project-by-project basis

Secure executive

sponsorship

No business sponsor; IT executive in

charge

Effective use across suppliers, customers and

business partners

Fragmented

Inconsistency, Redundancy

Apply standards to

individual project phases

Standardized

Consistency, Reuse, Efficiency

Effective use for driving business

strategy

Managed

Pervasive, Leverage of Skills

Information is trusted across the enterprise

Issues not recognized

Opportunistic

Rigid, Low agility

Specific set of users are

realizing value

Competency Center

Information Infrastructure

road map

Formalized DM&I

Initiative

Optimized

Flexibility, Agility, Proactiveness

Custom code

Data Fragments

Tools "chaos"

Standards and bestpractices sharing

Referenced architectures

Data services emerge

Dynamic metadata-driven data

management environment Proprietary

tools

Cost “chaos”

Data consistency

and availability

Funding from business units

on a project-by-project basis

Secure executive

sponsorship

No business sponsor; IT executive in

charge

Effective use across suppliers, customers and

business partners