---
title: Govern & improve
url: https://documentation.cluedin.net/govern
content_type: landing
---

# Govern & improve

How do I improve and govern the data?
  Data stewards and data governance managers.

Once data is mastered, this is how you keep it good: clean projects fix recurring quality problems, rules apply logic automatically, enrichers fill gaps from external sources, tags and the glossary classify records, and workflows put approvals around changes.

## In this section

- [Work with the glossary](https://documentation.cluedin.net/govern/work-with-glossary.md) (how-to): Glossary can help you in documenting groups of golden records that meet specific criteria, simplifying the process of cleaning and streaming these groups of records.
- [Cleaning](https://documentation.cluedin.net/govern/cleaning.md): A clean project takes a set of golden records, shows you what is wrong with them, and lets you fix it in bulk.
- [Enrichment](https://documentation.cluedin.net/govern/enrichment.md): An enricher fills gaps in your data from an external source - a company register, a mapping service, a search index.
- [Rules](https://documentation.cluedin.net/govern/rules.md): Rules apply logic to your data automatically: change a value, add a tag, block a change.
- [Tags](https://documentation.cluedin.net/govern/tags.md): Tags are labels you attach to golden records and data parts.
- [AI agents](https://documentation.cluedin.net/govern/ai-agents.md): AI agents do stewardship work for you - proposing fixes for quality problems, suggesting duplicates to merge, drafting rules.
- [Workflows](https://documentation.cluedin.net/govern/workflows.md): A workflow puts an approval step in front of a change, so that edits to golden records are reviewed before they take effect.
- [Set retention policies on data](https://documentation.cluedin.net/govern/set-retention.md) (how-to): Retention policies define how long data is stored in CluedIn before it is automatically archived or deleted.