MDM1: Master Data Management (MDM) Core Concepts

Organizations often struggle to align data definitions, ownership, and quality across systems. This course introduces the foundational principles of master data management, clarifying how master, reference, and transactional data work together. Learners gain the conceptual grounding needed to support consistent, trusted, and well-governed data.

As organizations grow, data complexity grows with themmultiple systems define the same entities differently, critical attributes conflict, and decision-makers lose confidence in the data they rely on. Establishing clarity across domains such as customers, products, and suppliers becomes a strategic necessity rather than a technical exercise. This course, led by Dave Wilkinson of D3Clarity, addresses these real-world challenges by grounding learners in the core concepts that underpin effective master data management (MDM). 

The course explores the distinctions between master, reference, and transactional data, along with key ideas such as data domains, critical data elements, and attributes. Foundational topics including data modeling, profiling, matching, survivorship, and workflows are introduced to support practical understanding. Participants also examine how to develop a clear vision and roadmap for MDM implementation, enabling organizations to move from fragmented data practices toward a cohesive, sustainable data management strategy. 

Course Highlights 

  • Overview of master data management(MDM) concepts and terminology 
    • Examination of master, reference, and transactional data classifications 
    • Introduction to data domains, critical data elements, and attributes 
    • Foundations of data modeling, profiling, matching, and survivorship 
    • Exploration of vision development and roadmap creation for MDM initiatives 

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: 

  • Define master data management(MDM) and explain its role in organizational data strategy 
  • Distinguish between master, reference, and transactional data types 
  • Identify data domains, critical data elements, and key attributes 
  • Describe core data modeling and profiling concepts used in MDM programs 
  • Articulate the components of an effective MDM vision and implementation roadmap 

Why Take This Course? 

This course establishes a clear and practical foundation for understanding how organizations manage and govern their most critical data assets. It equips learners with the conceptual framework needed to support consistent, reliable data across systems and teams. 

Is This Course Right for You or Your Team? 

This course is ideal for:  

  • Data and analytics professionals seeking foundational MDM knowledge
  • Business analysts working with shared or cross-functional data
  • Data governance and data quality practitioners 
  • Program managers or leaders supporting data initiatives 

No prior MDM or advanced technical experience is required. The course is designed for business and data professionals who want to build shared understanding, speak a common data language, and confidently contribute to master data management efforts across the organization. 

This Course Includes: 

  • A 61-minute educational training video  
  • A 17-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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