What is Data Product

Definition

A data product is a curated, well-documented dataset or data service treated like a product, with a clear owner, defined consumers, quality guarantees, and discoverability, so that data is reliably reusable rather than produced ad hoc for a single use.

« Back to Glossary Index

Provides reliable, documented data with a clear owner
Defines quality guarantees and SLAs for consumers
Encourages reuse instead of one-off, ad hoc datasets
Brings product-thinking and accountability to data

Real World Example

A domain team publishes a 'customer 360' data product with documentation, an owner, quality SLAs, and a stable interface, so other teams consume it confidently rather than each rebuilding their own customer dataset.

FAQs

What makes a dataset a data product?

Clear ownership, defined consumers, documentation, quality guarantees, and discoverability, treating data like a product.

Why adopt data-product thinking?

It makes data reliably reusable and accountable, rather than produced ad hoc for single uses and then abandoned.

How does it relate to data mesh?

Data products are a core principle of data mesh, where domains own and serve their data as products.