Microsoft Purview Data Products, Data Assets and Ownership; a practical learning path

Microsoft Purview Data Products, Data Assets and Ownership — A Practical Learning Path

I've put together a small set of connected guidance pages covering Microsoft Purview Data Products, Data Assets and Data Asset ownership.

This is simply my practitioner approach, developed from my knowledge, skills and experience working with Microsoft Purview, data governance and federated governance models. It is not intended to replace Microsoft guidance or claim to be a universal standard.

For anyone interested in the subject, I would suggest reading the pages in this order:

1. What Is a Microsoft Purview Data Product? — My Definition

This starts with the bigger business-facing concept: what I mean by a Microsoft Purview Data Product, why it exists, and how related Microsoft Purview Data Assets can be brought together around a defined business purpose or use case.

https://www.dataskylabstudio.com/learning-content/microsoft-purview-data-product-definition

2. Data Asset, Information Asset, Dataset and Microsoft Purview Data Asset

This goes a level deeper and looks at the terminology behind the things that can sit within or support a Data Product.

It explains the differences between a Data Asset, Information Asset, Dataset and Microsoft Purview Data Asset, including why the same resource can legitimately fit more than one definition depending on the context.

https://www.dataskylabstudio.com/learning-content/data-asset-information-asset-dataset-purview-data-asset

3. Microsoft Purview Data Asset Ownership Policy (Rules)

Once the terminology is clear, the next question is who is actually accountable for the Data Asset?

This page sets out my policy approach to Data Asset ownership, including the distinction between business accountability, stewardship and technical custody.

It also covers an important principle: associating a Data Asset with a Data Product does not automatically transfer ownership of that Data Asset to the Data Product Owner.

https://www.dataskylabstudio.com/learning-content/microsoft-purview-data-asset-ownership-policy

4. How to Identify a Microsoft Purview Data Asset Owner — Guidance

The policy explains what should happen; this page is about how to do it in practice.

It walks through understanding the Data Asset, reviewing existing governance policies and documentation, identifying the accountable business function, finding candidate ownership roles, testing whether they actually have the necessary authority, establishing stewardship and reaching the governance baseline.

https://www.dataskylabstudio.com/learning-content/microsoft-purview-data-asset-ownership-guidance

5. Microsoft Purview Data Asset Ownership Decision Tree

Finally, this turns the approach into a repeatable decision process.

The decision tree is intended to help someone work through a real Data Asset and reach an ownership decision that is explainable, repeatable and based on genuine business accountability rather than simply putting somebody's name into the Purview Owner field.

https://www.dataskylabstudio.com/learning-content/microsoft-purview-data-asset-ownership-decision-tree

Suggested Learning Path

What is a Data Product? → What are the Data Assets behind it? → Who is accountable for those assets? → How do we identify that owner? → How do we make the decision consistently?

I'm publishing these as practitioner guidance to help create clearer terminology and more consistent conversations around Microsoft Purview implementations.

Feedback, challenges and alternative approaches are very welcome.