Demystifying Master Data Management

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

During this episode, special guest John Owens and I attempt to demystify master data management (MDM) by explaining the three types of data (Transaction, Domain, Master) and the four master data entities (Party, Product, Location, Asset), as well as, and perhaps the most important concept of all, the Party-Role Relationship, which is where we find many of the terms commonly used to describe the Party master data entity (e.g., Customer, Supplier, Employee).

John Owens is a thought leader, consultant, mentor, and writer in the worlds of business and data modelling, data quality, and master data management (MDM).  He has built an international reputation as a highly innovative specialist in these areas and has worked in and led multi-million dollar projects in a wide range of industries around the world.

John Owens has a gift for identifying the underlying simplicity in any enterprise, even when shrouded in complexity, and bringing it to the surface.  He is the creator of the Integrated Modelling Method (IMM), which is used by business and data analysts around the world.  Later this year, John Owens will be formally launching the IMM Academy, which will provide high quality resources, training, and mentoring for business and data analysts at all levels.

You can also follow John Owens on Twitter and connect with John Owens on Linkedin.  And if you’re looking for a MDM course, consider the online course from John Owens, which you can find by clicking on this link: MDM Online Course (Affiliate Link)


Demystifying Master Data Management

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Related OCDQ Radio Episodes

Clicking on the link will take you to the episode’s blog post:

  • Redefining Data Quality — Guest Peter Perera discusses his proposed redefinition of data quality, as well as his perspective on the relationship of data quality to master data management and data governance.
  • The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.