Data Governance Kitchen
Episode 7: How to determine the definition of ownership?

Laurent Dresse, Data Governance Evangelist:

As such, it doesn’t mean a lot.
I mean “ownership” is not something that you simply decide on paper for an organization. It’s, for me, a critical aspect of your data governance approach. If you look back to the question that we had on data mesh, you have domain-driven ownership. We can say that this ownership can be identified by the data products you deliver.

Now, from a more holistic view, you can look at enterprise processes for instance, and check who is in charge of data.

If we pick the example of HR, you have HR processes that identify candidates then you have interviews, then you have offers, and then you have contractualization and onboarding for instance.
HR is clearly the owner of this process, hence the owner of this data.

However, what we can as well do is go one level down and say June is in charge of recruitment data assets. Julia is in charge of contractual data. And then, not only you have domain-driven ownership, but you also identify the people, so the data owners and the data stewards are responsible for your data assets.

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