Hi Ed and Ted
We went through something similar to this a number of years ago when one of our life sciences customers was migrating away from just over 60 separate legacy MDM instances around the world to Reltio. The original assumption was that we would preserve match rules in each of the regions because a lot of time was spent designing the rules and each region had its own "unique" needs. After gathering all the distinct match rules (Over 130 if memory serves), it became quickly apparent to the stakeholders that
A) there are only so many permutations that actually make sense before you go into crazy land when it comes to matching and
B) a simpler model is way easier to maintain and can deliver good results quickly. So the net was an initial set of common rules that worked well across regions and then if a particular region felt they had some very unique needs, the data governance team would review and decide if they wanted to add some specific rules (with filter conditions).
Hope this helps. Guy
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Guy Vorster
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Original Message:
Sent: 09-27-2021 15:08
From: Ed Mosier
Subject: Data Modeling and Governance Scenario
Ted,
That was my original thought too, but wasn't sure if that's what the consensus would be. This is a hypothetical scenario but I feel that it illustrates some design considerations when there are large implementations with complex governance structures in place, each with different business rules.
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Ed Mosier
Slalom
MO
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Original Message:
Sent: 09-24-2021 11:14
From: Ted Sager
Subject: Data Modeling and Governance Scenario
This is such a interesting use-case.
Wouldn't the desire to define state specific match rules/validation/cleansing and more importantly survivorship necessitate an entity per state model?
I can't imagine it would be pretty to try and maintain up to 50 survivorship variants * n attributes. Even if you could, the reality of 50 different governance teams trying to make releases would be... stressful.
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Ted Sager
Qlik