Enterprise Data
Governance
Turning data into a trusted, compliant and accountable enterprise asset — through robust policies, clear ownership and automated controls at scale.
Trust Your Data. Every Time.
As organisations scale data and AI investments, the risks of ungoverned data grow proportionally — from regulatory non-compliance and data incidents to AI models producing unreliable outputs. Our practice establishes the frameworks, tooling and accountability structures that make data trustworthy at scale.
Governance Frameworks
We design governance frameworks suited to your organisation's scale and complexity — from lightweight data cataloguing and stewardship for growing businesses to enterprise-grade programmes spanning hundreds of data domains and thousands of data products.
Regulatory Compliance
Our frameworks are designed with compliance built in — supporting GDPR, CCPA, BCBS 239, Solvency II and sector-specific regulations — giving legal, risk and audit teams the evidence trail they require with minimal manual effort.
What We Deliver
Data Catalogue
Active catalogues with automated lineage — Collibra, Alation, Microsoft Purview, Apache Atlas.
Data Stewardship
Domain ownership model, steward community and data quality scorecard with issue resolution workflow.
Compliance & Privacy
GDPR, CCPA and sector-specific data regulation compliance controls embedded in governance frameworks.
Data Lineage
Automated end-to-end lineage tracking across pipelines, reports and AI models for full audit traceability.
Our Core Services
Data Catalogue & Lineage
We implement active data catalogues with automated lineage capture — giving every user clarity on what data exists, where it comes from, what it means and who owns it.
- Data catalogue implementation (Collibra, Alation, Microsoft Purview)
- Automated lineage tracking across pipelines and reports
- Business glossary and metadata management framework
Data Stewardship & Ownership
Establishing clear data ownership hierarchies and stewardship programmes — embedding accountability for data quality, access and policy compliance in the business.
- Data domain ownership model and RACI design
- Data steward community establishment and enablement
- Data quality scorecard and issue resolution workflow
Data Privacy & Regulatory Compliance
Designing and implementing data privacy controls, consent management frameworks and regulatory compliance programmes across all data environments.
- GDPR / CCPA data mapping and privacy impact assessments
- Consent management platform design and implementation
- Data retention policy design and automated enforcement
Data Quality Management
Building systematic data quality monitoring, measurement and improvement processes — ensuring the data feeding your analytics and AI is always fit for purpose.
- Data quality rule engine design and implementation
- DQ KPI dashboards and trend reporting
- Data incident management and root cause resolution
Govern Your Data with Confidence
Build the governance foundations that enable compliant, trusted analytics and accelerate your AI readiness.