MDM5: Data Governance for Master Data Management (MDM)

Strong master data management (MDM) capabilities often falter without clear ownership, shared definitions, and accountability for data quality. This course examines how effective data governance provides the structure and trust required for master data management to succeed. Participants build practical insight into the governance roles, programs, and practices that sustain reliable master data.

As organizations scale, master data quickly becomes a shared asset with unclear ownership, inconsistent definitions, and varying quality expectations across teams. Without governance, even well-designed MDM solutions struggle to gain adoption or deliver consistent value. Led by Dave Wilkinson of D3Clarity, this course frames data governance as the foundation that enables MDM to function as a trusted, enterprise-wide capability. 

The course explores core governance components including data quality management, data ownership, and data stewardship. It examines how to design and sustain governance programs that secure business buy-in, clarify responsibilities, and standardize business terms and definitions. Topics such as data catalogs and shared vocabularies are introduced as practical tools for improving transparency, alignment, and long-term MDM success. 

Course Highlights 

  • Overview of data governance principles supporting MDM initiatives 
  • Examination of data quality, ownership, and stewardship roles 
  • Analysis of governance program structures and operating models 
  • Exploration of strategies for securing business buy-in and accountability 
  • Introduction to data catalogs, business terms, and standardized definitions 

Pricing and Credits 

  • Individual Course Price: $99 
  • Learning Plan Price:  $499 
  • Course CEUs: 2.0 hours 

By the End of This Course, You’ll Be Able To: 

  • Explain the role of data governance in enabling effective master data management 
  • Define data ownership and stewardship responsibilities within an organization 
  • Describe approaches for improving and sustaining data quality 
  • Outline the components of an effective data governance program 
  • Articulate the value of shared business terms, definitions, and data catalogs 

Why Take This Course? 

This course provides a clear framework for establishing governance practices that make MDM scalable and trustworthy. It equips organizations with the structures and roles needed to align data quality, accountability, and business participation. 

Is This Course Right for You or Your Team? 

This course is ideal for:  

  • Data governance and data quality professionals 
  • MDM program leaders and data owners 
  • Business stakeholders responsible for shared data assets 
  • Analytics and data platform teams supporting enterprise data 

No advanced technical background is required. This course is designed for professionals who influence data ownership, definitions, and accountability and want to build practical governance capabilities that support long-term master data management success. 

This Course Includes: 

  • A 51-minute educational training video  
  • A 23-question content-based practice exam  
  • “Check for Understanding” quizzes after each section  
  • Downloadable presentation slides  
  • Self-paced, on-demand access with progress tracking  
  • Unlimited course access  
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