Glossary

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Glossary / Evaluation and implementation guide

Data Governance (Data & Infrastructure)

In a data and infrastructure context, data governance is the framework of policies, roles, and controls that determine how data is defined, owned, protected, retained, and used across systems.

It includes cataloging, access control, quality standards, retention rules, and compliance mapping, and it is operationalized through practices like stewardship.

A practical example

Example: before a platform rollout, a team documents that customer email is personal data, restricts it to two roles, sets a 24-month retention rule, and catalogs the tables where it appears.

What to evaluate before investing

  • Check whether the platform offers a catalog with lineage so governed tables are discoverable
  • Verify granular access controls down to column or row level, not just database roles
  • Ask how the vendor supports policy documentation and audit trails for compliance reviews

Limitations and tradeoffs

Governance is a cross-team program, not a feature toggle; buying a governance-capable platform without defined policies and owners rarely changes behavior.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.