Data Governance

Data governance establishes decision rights, stewardship, standards, and monitoring for enterprise data assets throughout their lifecycle. It connects privacy, security, quality, and architecture policies into enforceable practice. Governance succeeds when embedded in delivery workflows, not only policy documents.

In Practice

Larkinized LLC designs data governance councils with clear escalation to architecture and security forums. Data catalogs and lineage tools operationalize governance metadata. EA repositories reference governance classifications for sensitive entities.

Example

Data governance mandates classification tags on new datasets before production analytics deployment approval.