Ownership & stewardship
Define ownership, decision rights and stewardship so it is clear who decides, who advises and who owns the result.
Data & Analytics
Data Governance & Master Data Management
Gromnii designs governance for ownership, quality and shared business entities across systems.
Sources
Ingest
Quality
Platform
Insight
Action
When this is useful
Use data governance and master data management when important entities, definitions, ownership or access rules differ across systems and teams. The work should establish decision rights and shared data rules without creating governance procedures that are disconnected from actual use.
How information moves through the system
This reference shows one possible Data Governance and Master Data Management arrangement. The actual design depends on the systems, constraints and controls involved.
01Data domains
02Ownership
03Standards
04Quality
05Distribution
06Monitoring
What Gromnii builds
Master/reference data
Define authoritative records and stewardship for shared entities such as customers, products, suppliers, locations and assets so systems use the same core identifiers.
Classification & policy
Define classification and policy rules for late, duplicated and out-of-order records, including who resolves exceptions.
Lineage & metadata
Record dataset ownership, definitions, transformations and downstream use so people can understand meaning and impact before changing shared data.
Quality & exceptions
Define validation and duplicate rules for shared records, then route ambiguous matches and ownership conflicts to named stewards instead of silently merging them.
What matters in production
Authority
Define who may create, merge, correct or approve authoritative records so stewardship decisions do not depend on informal ownership.
Change control
Review changes to definitions, matching rules and reference data with the owners of dependent systems so governance changes do not silently alter business meaning.
Privacy
Apply stewardship, sharing and retention rules to master data that contains personal or commercially sensitive attributes instead of treating reference data as automatically low risk.
Evidence
Record stewardship decisions, rule changes, access approvals and master-data corrections so important data changes remain explainable.
What it can improve
Consistent master records
Create governed definitions and matching rules for shared entities such as customers, products, suppliers or assets.
Clearer data ownership
Assign accountable owners and stewards for definitions, quality decisions, access and change.
More defensible data use
Connect classification, lineage, policy and evidence to the datasets and workflows where controls actually apply.
Related solutions and industries
Discuss a Project
Describe what Data Governance and Master Data Management should change, the systems it must work with and the constraints that matter.