Enterprise Information Management

EIM

The Enterprise Information Management (EIM) capability is the ability to establish effective systems for gathering, analysing, disseminating, exploiting, and disposing of data and information. The data can be held in any medium – all forms of digital storage, film, paper, or any other recording mechanism used by the organization.

Structure

EIM is made up of the following Categories and CBBs. Maturity and Planning are described at both the CC and the CBB level.

AStrategy and Organization

A1Information Management Strategy: Define the long-term value and competitive positioning objectives for the management, sources, and uses of information.
A2Information Governance: Develop and implement authorization and decision-making approaches that are executed through organizational structures and activities.
A3Communities of Practice: Build, foster, and maintain the sharing of good information management practices among employees.
A4Leadership: Promote the adoption of information management practices.

BStandards, Policies, and Controls

B1Standards and Policies: Develop and communicate standards and policies for information management (including data definitions, taxonomies, models, usage patterns, archiving policies and schedules, information policies, roles and rights), and key process indicators (such as service levels for all data and information-based services, and cost of ownership).
B2Controls: Establish a control framework for information management, which may include ways to monitor effectiveness and efficiency, to manage change, and to control access, as well as guidance on data and information use.

CInformation Management

C1Information Valuation: Establish and update the value of data and information assets based on criteria such as economic, financial, reputational, and technical risk, as well as on age, frequency of use, and position within the information life cycle.
C2Master Data Management: Define and maintain one or more master datasets, and synchronize them across relevant processes and systems. Define the data patterns and the quality standards to which data must conform in each stage of its life cycle.
C3Metadata Management: Define and update metadata that indicates the information life cycle stage and access control criteria for both business and technical data.
C4Information Quality: Establish policies that promote data and information quality.
C5Information Life Cycle Management: Define and manage the life cycle for business, technical, and forensics data and information to ensure that it is accurate, available, and accessible, and that it is removed at the end of its useful life. Life cycle management extends to archive maintenance.
C6Business Continuity Management: Provide information to business continuity planning on the data and information that is needed to support various business functions and activities.
C7Information Security: Provide oversight, processes, and tools to enable the security, availability, integrity, and accessibility of information throughout its life cycles.

DEnabling Data Analytics

D1Competences and Tools: Develop competences and tools for information management, business intelligence, and analytics to support decision-making.
D2Data Provision: Provide data for reporting and analysis purposes.

Overview

Goal & Objectives

An effective Enterprise Information Management (EIM) capability aims to:

Improve the quality of information available to support improved decision-making and business insights.
Improve the efficiency of business processes by making available data and information that is fit for purpose.
Provide flexible, dynamic, and centralized data platforms that enable stakeholders to access, interpret, and manipulate data.
Enable the analysis of data and information and provide an appropriate linked data platform in order to improve the identification and exploitation of new business.
Safely and effectively manage data and information throughout their life cycles.

Scope

Definition

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for EIM at each level of maturity.

2Basic

Practice
Ensure management is involved in the development of information management policies, standards, and controls.
Outcome
Confidence in a business-focused enterprise information management capability grows.
Metric
Percentage of relevant stakeholders participating in the approval of information management policies, standards, and controls.
Practice
Develop and implement a life cycle approach for the management of the most critical data and information.
Outcome
Data begins to be properly curated and deleted as appropriate.
Metric
Percentage of data sets managed following a life cycle approach.

3Intermediate

Practice
Promote regular alignment of EIM activities with business objectives.
Outcome
Information management services meet the needs of most stakeholders.
Metric
Number of major business intelligence goals and analytics-specific goals set by the business and met by using IT-enabled analytical services.
Practice
Promote metadata and master data management to improve information quality.
Outcome
Information quality issues can be systematically addressed and improved.
Metric
Transaction data quality – for example, the number of transactions needing rework.
Practice
Apply a life cycle approach for information management to most data and information.
Outcome
The organization moves from a reactive to a proactive approach to managing key quality attributes of data and information.
Metric
Percentage of organizational data sets whose life cycles are defined and managed.

4Advanced

Practice
Develop a rolling multi-year planning cycle for the information management strategy.
Outcome
A longer term strategic focus will deliver greater value.
Metric
Number of years covered by the rolling information management strategy.
Practice
Design, implement, and manage life cycles for business, technical, and forensics information.
Outcome
Cost-effective, well-managed information life cycles ensure information is available when, where, and how it is needed.
Metric
Percentage of data sets assigned to life cycles with associated acquisition, storage, and retrieval costs.

5Optimized

Practice
Regularly review and update information management policies, standards, and controls.
Outcome
Risk is reduced, and reputation is enhanced.
Metric
Number of compliance issues raised per reporting period.
Practice
Review information life cycles to maintain their extensibility and flexibility.
Outcome
New opportunities can be more readily seized, and extensible life cycles can be expanded easily.
Metric
Number of business opportunities that can be pursued because of the availability of flexible data platforms.

Reference

History

This capability was introduced in Revision 18.10 as an update to Enterprise Information Management (16).