Service 03 · Insight
Data Governance & Quality
Clear ownership, shared definitions and quality rules, so reported numbers are trusted.
Most distrust in reports is not a technology problem. It comes from unclear ownership and definitions that differ between teams. We put practical governance in place: who owns each dataset, what each measure means, and how quality is checked every day.
When this is the right service
- Two reports show different values for the same measure.
- Nobody is accountable when a key dataset is wrong.
- Regulation or audit requires evidence of how data is controlled.
What we deliver
- Data ownership and stewardship model
- Business glossary and agreed KPI definitions
- Data quality rules with automated monitoring
- Master and reference data management
- Access, privacy and retention policies
Discuss this service with us.
A first conversation is free of charge and without obligation.