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:
- Master Data Management in Practice — Guests Dalton Cervo and Mark Allen discuss their book MDM in Practice, and how to properly prepare for a new MDM program.
- Data Driven — Guest Tom Redman (aka the “Data Doc”) discusses concepts from one of my favorite data quality books, which is his most recent book: Data Driven: Profiting from Your Most Important Business Asset.
- Making EIM Work for Business — Guest John Ladley discusses his book Making EIM Work for Business, exploring what makes information management, not just useful, but valuable to the enterprise.
- The Higher Education of Data Quality — Guest Mark Horseman discusses data quality and master data management in higher education, which is mostly focused on the challenges of managing data about students, courses, and tuition.
- 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.