
As organizations grow, data complexity grows with them, multiple 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
Pricing and Credits
By the End of This Course, You’ll Be Able To:
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:
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: