Best Practices and Customer Implementation Case Studies
Successful Governance & Compliance Patterns we observe among customers
| Industry | Challenge | Key Outcome | Pattern |
| Asset Management | 350 KDEs compliance | Layered governance | Regulatory approval |
| Banking | Multi-LOB complexity | Federated model | Enterprise consistency |
| Retail | Domain federation | Domain-first | Clear ownership |
- Metadata Tests: Automate completeness checks (has owner? has description? has domain?)
- Compliance Forms: Push governance tasks to asset owners with trackable analytics
- Gold Tier Automation: Auto-certify well-governed assets, remove certification if quality degrades
- Propagation: Auto-propagate glossary terms and tags down lineage to reduce manual work
- Staged Progress: For customers without preexisting robust logical models, working with facts produces faster initial results. For example, having domain experts identify the most critical datasets and columns within them is faster than collecting the critical data elements for a business line and finding all of the instances.
- Multiple signals: Data and context management is a cumulative exercise. There’s not one answer. DataHub contains many signals. The power is in using them together to build a more complete picture of fitness.
Learn more about implementation patterns and key principles for organizing:
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