Ownership model
Accountability for sources, definitions, quality, access, and changes assigned to real roles.
Service practice
Governance, quality & trust
Create the definitions, controls, ownership, and quality routines that let people rely on shared data.
Our perspective
Governance works when it is visible in daily decisions, models, access, and review, not when it exists only as a policy document.
Capability catalog
Work within this practice
- Governance operating models
- Data ownership and stewardship
- Data-quality assessment and remediation
- Metadata, catalog, and lineage
- Documentation standards
- Master and reference data design
- KPI and metric governance
- Access, privacy, and security controls
Concrete output
What the work can produce
Definition system
Business terms, measures, transformations, and lineage recorded where teams use them.
Quality controls
Checks and issue paths focused on the data failures that materially affect decisions.
Governance cadence
A lightweight routine for reviewing access, definitions, quality, and proposed changes.
Technical context
Platforms and disciplines
- Data catalogs
- Lineage
- Data testing
- Access controls
- Semantic models
- Documentation
Compare the delivery boundary before choosing a starting point.
Review defined engagements, delivery models, and technology evidence without repeating the service catalog.