WA1727
Master Data Management (MDM) Foundation Workshop Training
This course provides a hands-on, workshop environment to enable project teams to explore MDM theory, practice, and strategy in a dynamic education and mentoring environment. 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, group discussion, as well as collaborative group-based exercises designed to put these concepts into practice.
Course Details
Duration
2 days
Prerequisites
A basic understanding of data models and information management is expected. Previous experience with database design concepts is helpful, but not required.
Target Audience
- Information Technology Architects, Developers, Business Analysts, and Managers
Skills Gained
- 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
- The Master Data Model
- The Importance of Metadata
- Designing Your Data Model
- Warehousing Master Data
- MDM Patterns
- MDM Anti-patterns
Course Outline
- Introduction to Master Data Management
- Defining Master Data
- Qualities of Master Data
- Master Data Management (MDM)
- Common Causes for Unmanaged Data
- MDM Domains
- Industry Standard Domains
- Using Master Data
- Common Implementation Styles
- Consolidation Implementation Style
- Registry or Federation Implementation Style
- Coexistence Implementation Style
- Transactional Hub Implementation Style
- MDM Value Proposition
- Business Benefits of MDM
- Benefits of Accurate Data
- Cost Saving and Efficiency
- Better Regulation Compliance
- Better Time to Market
- Mergers and Acquisitions
- Real Life Case Studies
- Better Reporting at Nationwide
- Cost Cutting at Shell Oil
- Single Customer View for Canon Europe
- Brinker Gets a New Menu
- MDM Risks
- Risk Categories
- Technical Risk - Data Model Standardization
- Technical Risk - Tools and Infrastructure
- Technical Risk - Data Architecture
- Technical Risk - Ignoring the Role of Business Processes
- Technical Risk - Testing and Validation
- The Carbon Interfaces
- Human Risk - Change Management
- Human Risk - Communication
- Human Risk - Unrealistic Expectations
- Human Risk - Funding
- Crafting an MDM Business Case
- Building the Case for MDM
- Identify the Business Drivers
- Explore the Potential that MDM Has to Offer
- Aligning Drivers and Value
- Crafting the Business Case
- Other Information
- Key Success Factors
- Business Stakeholder Involvement
- Data Model Design
- MDM Governance is Essential
- Incremental Adoption
- Introduction to Metadata Management
- What is Metadata?
- How is Metadata Defined?
- Metadata and MDM
- Basic Concepts
- Value Domain
- Metadata and Data Governance
- Data Modeling in MDM
- Introduction to Data Modeling
- Conceptual Data Model
- Logical Data Model
- Physical or Persistent Data Model
- Persistent Data Model in MDM
- What Goes in MDM?
- Relationship Modeling in MDM
- Additional Modeling Activities
- A few Best Practices
- Introduction to Governance
- Governance in IT
- Data Governance
- MDM Business Processes
- Metrics
- MDM Maturity Model
- Initial Level
- Reactive Level
- Managed Level
- Proactive Level
- Strategic Performance Level
- Incremental Development
- Typical Adoption Process
- MDM Adoption Phase 1
- MDM Adoption Phase 2
- MDM Adoption Phase 3
- MDM Implementation Activities
- Establish Business Goals
- Gap Analysis and Project Scope Definition
- Requirements Analysis and Business Process Design
- Identifying Master Data
- Document Governance Policies
- Define the Metadata
- Perform Master Object Analysis and Modeling
- Implement the MDM Architecture
- Implement Data Services
- Migrate Legacy Application
- Appendix A – MDM Glossary
- Appendix B – MDM Roadmap
