What is Domain-Oriented Data

Definition

Domain-oriented data is an approach that organises data ownership and modelling around business domains, such as sales, finance, or logistics, so the teams closest to each domain are responsible for its data, improving relevance, quality, and accountability.

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Aligns data ownership with the teams that understand it best
Improves data quality and relevance through domain expertise
Clarifies accountability by assigning data to domains
Underpins decentralised approaches like data mesh

Glossary: Cognitive Search

Real World Example

A company reorganises so the logistics team owns and models its own shipping and inventory data as domain-oriented data, producing more accurate, relevant datasets than a distant central team previously could.

FAQs

What does domain-oriented mean for data?

Organising data ownership and modelling around business domains, so domain teams own their own data.

Why is domain orientation beneficial?

Teams closest to a domain understand its data best, improving quality, relevance, and accountability.

How does it relate to data mesh?

Domain ownership of data is a foundational principle of the data mesh approach.