What is metadata governance?
Metadata governance is the operating framework used to keep metadata accurate, consistent, accountable and fit for use. It defines ownership, standards, mandatory attributes, approval and change workflows, quality controls, lineage expectations, classifications, exceptions, measures and review responsibilities across business and technical metadata.
How is metadata governance different from metadata management?
Metadata management covers the broader practices and technology used to capture, store, integrate, enrich, search and use metadata. Metadata governance focuses on the decision rights, policies, standards, ownership, controls and evidence that determine how that metadata should be created, approved, maintained and monitored.
What does a metadata governance engagement include?
Scope can include current-state assessment, metadata policy and standards, role and stewardship design, business glossary governance, technical metadata and lineage rules, classification and policy metadata, lifecycle workflows, metadata quality measures, exception handling, platform requirements, adoption planning and a prioritised implementation roadmap. Final scope is agreed during discovery.
Which metadata types can be governed?
The service can cover business metadata such as terms, definitions, owners and policies; technical metadata such as schemas, columns, models and transformations; operational metadata such as jobs, usage and freshness signals; lineage and provenance; classification and sensitivity metadata; quality metadata; and selected semantic or AI-related context where it is relevant to the client environment.
Who should own metadata governance?
Accountability usually spans data owners, data stewards, metadata or catalog product owners, data governance leaders, architecture, engineering, analytics, privacy, security and risk teams. The engagement defines decision rights and escalation paths rather than assuming that one central team should own every metadata decision.
Can DataConsultant work with our existing data catalog or metadata platform?
Yes. Metadata governance can be designed around existing platforms when they are fit for purpose. The work may consider Microsoft Purview, Collibra, Alation, Informatica, Atlan and other catalog, lineage, quality, workflow or data-platform capabilities. Product features, licence terms and connector availability should be verified for the client environment before implementation.
Do you implement metadata tools as part of this service?
Tool implementation can be included only when it is explicitly scoped. Metadata governance itself is not a software deployment service. Where platform configuration, connector setup, migration or managed administration is required, DataConsultant can scope platform consulting or implementation support alongside the governance work.
How are business glossary and data lineage governed?
The engagement can define term ownership, definition standards, approval workflows, synonym and hierarchy rules, certification criteria, review cycles and deprecation practices for the business glossary. For lineage, it can define required coverage, granularity, authoritative sources, validation, exceptions, ownership, evidence and change-impact responsibilities.
Can metadata governance support privacy, security and regulatory readiness?
Metadata governance can support control readiness by documenting classifications, ownership, lineage, retention context, policy mappings, access purpose, evidence and review responsibilities. It does not guarantee compliance and does not replace qualified legal advice, statutory audit, certification or specialist security assessment.
Which standards and frameworks can inform the design?
Relevant reference points can include ISO/IEC 11179 metadata-registry concepts, W3C DCAT for catalog interoperability, DAMA-DMBOK concepts, DCAM, internal data standards, security and privacy control frameworks, and sector-specific obligations. Applicability is confirmed against the organisation’s use cases, architecture, jurisdictions and assurance needs.
What deliverables can we expect?
Typical outputs can include a metadata governance charter, policy and standards set, metadata ownership and RACI model, mandatory metadata specification, glossary governance standard, lineage governance standard, lifecycle workflow, metadata quality scorecard, control and exception register, platform requirements, KPI framework, implementation backlog and phased roadmap.
How long does a metadata governance engagement take?
A dependable duration is confirmed after scoping. Timing depends on the number of data domains, systems and metadata types, stakeholder availability, existing catalog and lineage maturity, policy complexity, evidence quality, review cycles, platform analysis and whether implementation or adoption support is included.
How is metadata governance pricing calculated?
DataConsultant does not publish a fixed fee for this metadata governance service. Pricing is scope-led and confirmed after discovery based on the number of domains and systems, stakeholder groups, metadata types, policy and control depth, platform landscape, workshops, required deliverables, implementation support, onsite needs and adoption or managed-support requirements.
What should we prepare before the engagement starts?
Useful inputs include governance policies, data-domain maps, existing glossaries, catalog exports, metadata models, lineage samples, architecture diagrams, platform inventories, quality reports, classification schemes, issue logs, audit findings, role descriptions and access to accountable business and technical stakeholders. Missing evidence should be recorded as a limitation rather than assumed.
