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Master Data Management (MDM)
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WA1726 MDM Primer Training and Courseware
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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.
No matter how well your applications, services, business processes, or other technology systems and assets are designed, nothing can cover up or otherwise overcome the limitations of bad data. Mismanaged data results in conflicting reports, unreliable results, information replication issues, and a host of other problems that require extensive workarounds, patches, and troubleshooting.
Master Data Management (MDM) is an 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 provides foundational knowledge in MDM theory, practice, and key components. Attendees are provided with a broad survey of Master Data concepts and given an opportunity to explore MDM from multiple angles. Concepts are reinforced through analysis of real world case studies and group discussion. |
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Topics
- Master Data Management Concepts
- Master Data Management 101
- The Master Data Value Proposition
- Real World Case Study Analysis
- Opportunities and Risks
- MDM Infrastructure and Tools
- Key Success Factors
- MDM Adoption
Audience
General audience including business and technology team leadership
Prerequisites
There are no formal knowledge pre-requisites
Duration
1 day |
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Course Outline
1. A Brief Survey of Data Management
- Objectives
- How Flat is Your File?
- Relational Database Management
- Object Relational Database Management
- Distributed Data Management
- Data Synchronization
- Master Data Management (MDM)
- Summary
2. Master Data Management 101
- Objectives
- Principals of MDM
- What is Master Data?
- Typical Data Management Scenario
- Managing Master Data
- Merging Data
- Cleaning Data
- Serving Data
- Updating Data
- Tools and Infrastructure
- Stewardship and Governance
- Summary
3. 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
4. Real World Case Study Analysis
- Objectives
- Case Study – Nationwide Insurance
- Problem Domain
- MDM Value for Nationwide
- Analyzing Nationwide’s MDM Solution
- Discussion Question
- Case Study – Equifax
- Problem Domain
- MDM Value for Equifax
- Analyzing Equifax’s MDM Solution
- Discussion Question
- Case Study – British Telecom
- Problem Domain
- MDM Value for BT
- Analyzing BT’s MDM Solution
- Discussion Question
- Case Study – ExxonMobil
- Problem Domain
- MDM Value for ExxonMobil
- Analyzing ExxonMobil’s MDM Solution
- Discussion Question
- Summary
5. 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
6. MDM Infrastructure and Tools
- Objectives
- Infrastructure and Tools Overview
- Enterprise Components
- Run-time Components
- Design-time Components
- Requirements and Recommendations
- Build vs Buy Analysis
- Vendor Selection Criteria
- Summary
7. Key Success Factors
- Objectives
- Business Stakeholder Involvement
- Data Model Design
- Metadata Management
- Data Stewardship
- Governance
- Tools and Infrastructure
- Incremental Adoption
- Summary
8. 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
Appendix A – MDM Glossary
Appendix B – MDM Roadmap |
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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.
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