Ownership and policy
Define decision rights, stewardship, and permitted use.
Govern data to increase safe use, not administrative overhead
Data Governance clarifies which data matters, who owns it, how quality is measured, and who may use it in each context.
Define your Data Governance scopeData GovernanceClearer data origin, ownership, and confidence.
Analytics and AI cannot scale on data without accountability
When teams do not know where data came from, who owns it, or who resolves errors, each project rebuilds control independently and risk grows with adoption.
SourcesOwnersCATALOGQualityPolicy
Governance capabilities
Catalog and metadata
Make data discoverable with definitions and business context.
Quality and lineage
Measure quality and trace origin, transformation, and impact.
Access and lifecycle
Control permissions, retention, and handling throughout the lifecycle.
Value-led governance
- 01
Select critical data
Prioritize domains affecting reporting, operations, or control.
- 02
Assign responsibility
Name owners, stewards, and decision workflows.
- 03
Apply controls
Implement catalog, quality rules, lineage, and access.
- 04
Measure and expand
Track issues, resolution, and use before scaling to new domains.
Governance outcomes
- Users understand which data is suitable for each purpose.
- Quality issues have clear owners and resolution paths.
- Lineage makes change impact easier to assess.
- Access and lifecycle controls become more consistent.
Discuss your data challenge
Share your goals, current environment, and priority scope to prepare for a conversation with ICS.
- Hotline
- 0931 487 231
- contact@ics.vn