Course Code: dmbk4
Duration: 21 hours
Prerequisites:
  • CDMP Fundamentals
Overview:

The course covers Master and Reference Data Management within the DAMA Body of Knowledge (DMBoK®) in depth. It looks at the many components necessary to leverage reference and master data. It discusses their differences, identification of resources, different Master Data Management (MDM) architectures, maturity assessments, and aligning with business processes. It also discusses different MDM solutions and approaches, as well as the relationships between MDM, Data Quality, and Data Governance.

Purpose

To gain a solid understanding of reference data, master data, and Master Data Management (MDM).

Outcome

  • Learn about event and transaction data
  • Understand where reference data, master data, and MDM sit within the Data Management ecosystem
  • Explore different MDM drivers, business outcomes, architectures, delivery options, and much more
Course Outline:
  • Master and Reference Data Management
    • The DAMA DMBoK Wheel
    • Goals and Business Drivers of Reference and Master Data
  • Key Points and Master Data Management (MDM)
    • What is Event/Transaction Data?
    • Master Data Management Drivers
    • Master Data Management Architectures
    • The Master Data Environment
    • Methods of Moving Data
    • Typical MDM Components
  • MDM Capabilities
    • Understanding MDM Capabilities
      • The Master Data “Hub”
      • Data Integration and Acquisition
      • Master Data Services
      • Data Delivery
      • Access Control
      • Synchronization
      • Data Quality, Governance, and Operations
    • Master Data Match Rules
    • Synchronized Master vs. Application Specific Master
    • Master Data Sharing Architecture
    • Key Processing Steps for MDM
    • Components of Single-Domain vs. Multi-Domain MDM
    • Operation vs. Analytical MDM
  • Characteristics
    • Differentiators of Master Data Management (MDM) and Reference Data Management (RDM)
    • The Importance of Reference Data
    • Aligning MDM Initiatives with Business Projects
  • Aligning MDM
    • Engineered for Reuse
    • Portfolio vs. Per Project
    • MDM Challenges and Considerations
  • Wrap Up
    • Key Takeaways