AI amplifies data risk. This service area focuses on the controls and quality mechanisms that allow teams to trust the data they use, share it safely, and detect issues early.
Common outcomes
- Clear access control and secure sharing
- Data quality that is monitored and measurable
- Better confidence in metrics and datasets used across teams
What we typically deliver
- Governance design (ownership model, access patterns, environment boundaries)
- Unity Catalog and access control implementation (where applicable)
- Data quality rules, monitoring, and alerting
- Observability for pipelines and key datasets
- Documentation patterns (data dictionaries, runbooks, lineage support)
Best for
Organisations in regulated environments, multi-team data sharing, or recurring data quality issues.