What data quality is not
It is not a Snowflake bill. It is not a data catalogue nobody reads. It is not a lineage diagram that stops at the warehouse.
What it is
- A tight loop between production output and labelled ground truth.
- Documented sourcing for every training or retrieval corpus.
- Explicit deletion mechanics that can honour a PIPEDA request end-to-end.
- Version control on your data with the same rigour as your code.
The moat
Anyone can call the same model you do. Almost nobody has the labelled, deletable, versioned corpus that makes your outputs different. That gap is the moat.