Transcript EIM Overview

EIM Framework
Corporate
Performance
Goals
BTS Strategy and
Goals
SAP PI (ESB)
DBMS (various)
Bus Obj
Enterprise (BI)
Information Arch
Application Arch
Bus Obj Explorer
(BI)
Infrastructure
Arch
Open Text
Security Arch
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
Vision
Sponsorship
CSFs & KPIs
Data Integrator (DS)
Data Quality
Data Integrity
Mission
Strategy
Goals &
Objectives
Stewardship /
Trusteeship
Policies,
Principles &
Tenets
Alignment
Data Sec/Protection
Data Lifecycle Mgmt
Data Movement/
Integration
Semantics Mgmt
Database Mgmt
Master Data Mgmt
Value
Propositions
Reference Model
Information Services
Services & Support
Structure
(Virtual,
Hybrid……)
Roles &
Responsibilities
Functional
Services
Business Value
and Relationship
Management
Data Quality (DS)
Data Insight
Universal Data
Cleanse
MetaData Manager
Master Data
Managment
Autonomy (content
indexing)
Enterprise
Architect
EIM Definition
Enterprise 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 Benefits
Business 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
Opportunistic
Fragmented
Standardized
Managed
Optimized
Rigid, Low agility
Inconsistency,
Redundancy
Consistency, Reuse,
Efficiency
Pervasive,
Leverage of Skills
Flexibility, Agility,
Proactiveness
Dynamic
Formalized
Data
metadataDM&I Standards Information
consistency
driven data
Initiative
and
best
and
availability
Infrastructure
Cost
management
practices
Data services environment
road map
“chaos”
sharing
emerge
Referenced
Tools
architectures
Competency
"chaos"
Center
Proprietary
tools
Issues not
recognized
Data
Fragments
Custom
code
No business
sponsor; IT
executive in
charge
Information is
trusted across
the enterprise
Effective use for
driving business
strategy
Effective use
Specific set of
across
suppliers,
users are
Apply
customers
and
realizing value standards to
business
Funding from
individual
Secure
partners
business units
project phases
executive
on a project-byproject basis sponsorship