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Data Engineering Podcast cover image

Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

NOTE

Clarity through Data Governance

Implementing a data governance framework ensures clarity by designating data owners to make decisions regarding aspects like security classification and encryption levels. This structure simplifies the process as individuals know who to approach for specific data-related queries. Moreover, having data governance in place enhances the business's ability to articulate their data needs effectively.

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Speaker 1
But when they try and talk to the business and say, who's responsible for doing this? Security classification, the encryption levels, the business will go, well, probably not me, you should try talking to Tobias. I think he knows this data. And you go, I don't think it's me, he tries somebody else. You know, they go pillar to post. But as soon as you've got a data governance framework in place, you've got somebody who has agreed that they are the data owner, if we've done this properly, and that they are the right person to make decisions about the data. Now, as a data governance person, I'm going to be asked them to do some definitions and what makes the data good enough to use in terms of data quality. But from a technical point of view, you can come and ask, right, you're the person who makes decisions about this data. Tell me the security classifications, what encryption level do you want on this? And that's repeated over every of the, you know, all the different teams. When you have a question, you need to go and ask somebody. It's really clear because we've got the data owners all agreed, and it just makes things simpler. And I think the other thing that I've been told, anecdotally, but by multiple clients over multiple years now, is that having data governance in place makes the business much better at giving you their data requirements.

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