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EIM 301 – Enterprise Information Management (EIM) – Full Life CycleGuide

Duration: 3 – 5 days

This practical course introduces the concepts of enterprise information management and all its component disciplines, forming the framework for the development of an organization’s approach to managing information as an enterprise asset. Real-world EIM case studies will be used to demonstrate the importance of having a methodology for defining data and information requirements across all areas of the organization. You will learn the concepts for EIM.

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Description

This course is a comprehensive treatment of enterprise information management (EIM) concepts and practices, and their use in achieving business objectives. The purpose of this course is to take attendees with little to no background in EIM to a functional understanding of business objectives tied to ROI, project management, architecture, critical success factors, risk factors, design, process, and tools.

This practical course introduces the concepts of enterprise information management and all its component disciplines, forming the framework for the development of an organization’s approach to managing information as an enterprise asset. Real-world EIM case studies will be used to demonstrate the importance of having a methodology for defining data and information requirements across all areas of the organization. You will learn the concepts for EIM.

This course is designed to provide students with the opportunity to develop their organization’s EIM strategy, starting scope, and other significant foundational artifacts. This course is workshop-focused since design concepts are best learned from doing.

This course lays the groundwork and provides the fundamentals required to leverage your company’s investment in an enterprise or department-level information management system.

Objectives

  • Provide a comprehensive understanding of enterprise data management and discover its importance to the organization’s performance
  • Understand the components of enterprise data management and their similar processes and practices
  • Understand how to develop the roadmap to implementation for each EIM component
  • Review case studies of successful enterprise data management, including scope, project plans and other foundational artifacts

Seminar Content

  • Information as an Enterprise Asset
    • Business value of managing data and information
    • Definitions
  • Enterprise Information Management – Introduction
    • What is EIM?
    • EIM framework
    • EIM goals
    • EIM guiding principles
    • Issues and challenges of implementing an EIM program
    • Key attributes to a successful EIM program
    • The EIM organization structure
  • Introduction to EIM Framework Components
    • Data governance
    • Information and data architecture
    • Information quality management
    • Reference and master data management
    • Data warehousing and business intelligence
    • Structured data management
    • Unstructured data management
    • Metadata management
    • Information security management
  • Overview of an Enterprise Information Management Program
    • Defining EIM requirements
    • Identifying data and metadata sources
    • Approaches to EIM implementation – roadmap approach
    • Creating the EIM organization structure – EIM Center of Excellence
    • Relationship between the EIM organization and data governance
    • Creating the EIM program plan – program not project
    • EIM program artifacts
    • EIM Maturity and Assessment Model – measuring your organization
    • EIM technologies overview
    • EIM component artifact relationships and dependencies
    • Measuring EIM program success
    • Future of EIM
  • Workshop conclusion, summary, additional exercises, sources for further reading, etc.

About the Course Designer

This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.

David Marco PHD EWSolutions

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