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Building a Data Catalogue

Making data discoverable and understandable across an organisation with a catalogue of datasets, owners and definitions.

Editorial team 1 min read

People can't use data they can't find or understand. A data catalogue is an inventory of an organisation's data with the context needed to use it.

What a Catalogue Contains

  • Datasets, tables and columns.
  • Descriptions and business definitions.
  • Owners and stewards.
  • Lineage: where data comes from and where it goes.
  • Quality indicators and freshness.
  • Access policies and sensitivity classifications.
  • Usage statistics.

Benefits

  • Faster discovery.
  • Consistent definitions.
  • Better governance and compliance.
  • Context for AI assistants that answer data questions.

Making It Work

  • Automate metadata collection from databases and pipelines.
  • Assign ownership; empty descriptions don't fill themselves.
  • Prioritise the most-used datasets.
  • Integrate into daily tools.

Common Failure

Catalogues that nobody maintains become stale and ignored. Treat the catalogue as a product with users and owners.

Glossary

Pair the catalogue with a business glossary defining key terms and metrics.

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