DATA GOVERNANCE TUTORIAL // In the 15 years I’ve been working in data-related roles, I’ve seen the growing focus on data governance. In this data governance tutorial, we’ll look at what data governance is, why it’s important, and dive into the key details that set good data governance apart from poor (or nonexistent) ones.

Data governance can sometimes feel like it’s just there to create work. Why does data governance matter? Good data governance should actually make things easier for an organization. It creates structure and clarity which can make using the data much simpler.

It’s tempting to say - we want to govern all the data! But realistically, trying to document and set up rules and process for everything at the same time is usually a recipe for disaster or a delivery years in the future. This involves setting a scope of data that you’re going to work on.

We’ll talk about data quality and data integrity and how to select a data source when you have multiple available. We’ll look at how to combine different data sources through data mapping.

Additional topics include: documenting data sources, data governance roles, and what’s the difference between data governance vs data management?

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