Course #:WA1725

Master Data Management (MDM) Executive Overview Training

One of the most valuable assets that your enterprise possesses is your data.  It represents a critical element of your organization’s intellectual property.  The trouble is that for many enterprises, their data is spread across multiple disparate data stores, complete with inconsistent data structures, non-standard naming conventions, duplicate data, and conflicting data representations.

Master Data Management (MDM) is an enterprise alignment strategy aimed at unifying your organization’s data into a coherent whole.  MDM provides an overarching methodology for resolving data fragmentation.  Data fragmentation results in duplicate data, inconsistent information sets, and stale or out-of-data reports.  MDM addresses all of this from a comprehensive perspective and ensures that your data management strategy aligns with your business objectives.

This course will provide your organization’s senior management team with an understanding of MDM, its business value, and practical steps to managing the opportunities and risks associated with adopting MDM within your enterprise.

  • Information Technology in the Modern Enterprise
  • The Master Data Value Proposition
  • Real World Case Studies
  • Opportunities and Risks
  • MDM Adoption Steps
  • Evaluating and Adopting MDM Pragmatically

Executives, senior management, line of business managers


There are no formal knowledge pre-requisites


1/2 day

Outline of Master Data Management (MDM) Executive Overview Training

1. Information Technology in the Modern Enterprise

  • Objectives
  • Enterprise landscape
  • The state of IT
  • Opportunities and challenges
  • The Quality of Data
  • The Importance of Business Intelligence
  • Master Data
  • Summary

2. The Master Data Value Proposition

  • Objectives
  • Principals of MDM
  • The Master Data Value Framework
  • Typical Business Cases
  • Business Case  #1
  • Business Case  #2
  • Business Case  #3
  • Business Case  #4
  • Summary

3. Real World Case Studies

  • Objectives
  • Case Study – Nationwide Insurance
  • Problem Domain
  • MDM Value for Nationwide
  • Results
  • Case Study – Equifax
  • Problem Domain
  • MDM Value for Equifax
  • Results
  • Case Study – British Telecom
  • Problem Domain
  • MDM Value for BT
  • Results
  • Case Study – ExxonMobil
  • Problem Domain
  • MDM Value for ExxonMobil
  • Results
  • Summary

4. Opportunities and Risks

  • Objectives
  • MDM Opportunities
  • MDM and Business Intelligence
  • Data Quality
  • Data Consistency
  • Data Purity
  • Risks Associated with MDM
  • Evaluating the Impact of MDM
  • Summary

5. MDM Adoption

  • Objectives
  • MDM Adoption Process
  • Identify Data Sources
  • Identify Data Consumers and Producers
  • Collect and Analyze Data and Metadata
  • Establish Data Stewardship
  • Develop the Model for Master Data
  • Design and Implement Tools and Infrastructure
  • Generate and Validate Master Data
  • Modify Existing Enterprise Systems
  • Summary

6. Next Steps

  • Objectives
  • Potential for MDM
  • MDM Risks
  • Evaluating MDM
  • Pragmatic Adoption
  • Actions and Next Steps
  • Summary

Appendix A – MDM Glossary

Appendix B – MDM Roadmap

We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.