Blog Posts Process Management

Understanding Key Facets of Your Master Data; Facet #1: Modeling

Blog: The Tibco Blog

Reading Time: 3 minutes

Successful master data management (MDM) is crucial to the success of daily operations, analytics, and compliance efforts. But many organizations forget about some key facets of master data, leading to poor MDM strategy and lackluster business performance. That’s why we’re publishing this blog series, highlighting commonly overlooked facets of MDM. 

In this post, we will examine the problem of modeling. We’ll focus on data modeling, saving workflow modeling for an upcoming post on governance and lifecycle management. 

At its core, the data model is documentation. For an MDM project to be successful, you need to be clear on what you will be governing. And that means you need to document, in an unambiguous way, the values and the relationships you plan on managing with your MDM. 

This raises many questions, the most important of which we’ll cover below.


For an MDM project to be successful, you need to be clear on what you will be governing. And that means you need to document, in an unambiguous way, the values and the relationships you plan on managing with your MDM. 
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In this post, we discussed a few of the main elements of modeling that we think many people miss in the early days of their MDM program. For more on key facets of your master data, read this comprehensive guide on the six business-critical facets of master data that organizations often overlook. 

And keep a lookout for our next post in which we cover issues related to relationships when describing different data model patterns.

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