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Cloud, data and sustainability

Data products: making enterprise data trusted and usable

A data product is a data set managed like a product, with a named owner, known users, documentation and a published quality standard, so that people across the organisation can find, trust and reuse it.

Reviewed by Krynthnode Research. Last updated .

Why it matters

Many organisations built large data platforms that business teams did not trust or use. Product thinking shifts the focus from storing data to serving decisions.

What to get right

  • Start with three to five data products tied to revenue or cost decisions.
  • Give each a business owner, not only a technical one.
  • Publish quality measures and fix issues at the source.
  • Fund governance alongside the platform, not after it.

Common questions

Is a data product the same as data mesh?

Data mesh is a broader operating model built around domain-owned data products. You can adopt data products without a full data mesh.

How do we measure success?

By use and trust: how many decisions rely on the product, and how often users find problems.

Our research on this topic

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