Bank Data Governance — metadata before quality
Data governance is often reduced to form-filling; the real lever is metadata lineage and quality rules built into the pipeline.
Categories:
Many bank data-governance programs degenerate into “fill in the metadata, assign owners.” To get results, governance must be built into the data production pipeline.
Do two things first
- Metadata & lineage: where a field comes from, which jobs transform it, where it flows — must be tracked automatically.
- Quality rules built-in: non-null, uniqueness, consistent definitions act as ETL/lakehouse gates; bad data never lands.
Security & encryption
- Encryption at rest: sensitive fields (ID numbers, card numbers) encrypted on disk.
- Dynamic masking: query-side masking by role; dev environments never see plaintext.
The goal of governance isn’t a pretty report — it’s giving downstream systems confidence to use the data.