A governance program connected to decisions
Four components designed around the problem, operating model, and existing architecture. They are not a mandatory sequence.
DEFINE
- Critical decisions and data
- Shared definitions
- Prioritized roadmap
ASSIGN
- Owners and stewards
- Decision forums
- Rights and responsibilities
CONTROL
- Data quality rules
- Lineage and classification
- Access and lifecycle
OPERATE
- Controls in the workflow
- Operating evidence
- Review and improvement
Governance Must Be Visible and Operable
The visibility layer follows your architecture: a native catalog, an open-source platform, or a tailored solution. The evidence connects assets, definitions, lineage, quality, owners, and classification in one operating model.
Product views are OpenMetadata over sample data.
Two Ways to Work With Us
In both cases we deliver the program —culture, organization, processes— and the catalog where that becomes visible, the one that fits your infrastructure.
Implementation
We design the program with the DAMA-DMBOK and DCAM frameworks, deploy the catalog on your infrastructure, and hand over governance ready to operate.
Ongoing Operation
We implement and operate data governance continuously. Monitoring, catalog evolution, and permanent support.
If you already know what your problem is, write to us directly. If you don't know where to start, the self-assessment places you.
Problems the Program Helps Solve
Storage cost reduction
Data lineage reveals duplicated datasets, orphaned tables, and data without owners. We identify what to archive, what to delete, and what to keep.
How we do it
- Map where each piece of data comes from and where it goes
- Orphan data identification
- Archiving policies by domain
Cloud migration & repatriation
Moving data between clouds — or back on-premise — requires knowing what you have and where it goes. Governance makes migrations traceable and verifiable.
How we do it
- Complete catalog before migration
- Lineage-traced data movement
- Validation before and after each move
Trustworthy analytics
Rules, owners, and traceability let teams understand which data they can use and under which conditions.
How we do it
- Quality criteria by decision
- Quality-gated pipelines
- Audit trail for every dataset
Agentic AI That Operates Governance
Governance is designed with method and operated with help: the agent connects to your databases, catalogs assets, applies the program’s policies and logs every action. It accelerates governance; it does not replace it.