About This Resource
Evaluates data governance maturity across five pillars: data quality, data ownership and stewardship, data lineage and cataloguing, policy and standards, and regulatory compliance. Produces a maturity level per pillar.
When preparing for a data strategy review, AI programme, or regulatory data audit.
CDO, CIO, Data Governance Lead, Compliance Officer
- Data quality processes
- Ownership structures
- Lineage documentation
- Policy frameworks
- Maturity level per pillar
- Overall governance score
- Key remediation priorities
Complete the Assessment
1. Data Quality
How is data quality measured and managed across your institution?
How complete and accurate is your critical data (customer, product, transaction)?
2. Data Ownership & Stewardship
How clearly defined are data ownership roles across your institution?
How effective is your data stewardship programme?
3. Data Lineage & Cataloguing
How well can you trace the lineage of critical data from source to report?
How mature is your data catalogue and metadata management?
4. Policy & Standards
How comprehensive is your data governance policy framework?
How consistently are data standards applied across systems and teams?
5. Regulatory Compliance
How well does your data governance framework support regulatory compliance?
How prepared is your institution for data privacy regulations (GDPR, CCPA, etc.)?
How accurate and timely is your regulatory data reporting?