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Glossary

What is data governance?

Data governance is the rules and responsibilities that decide who owns a set of data, who may use it, how accurate it has to be and when it is deleted.

Updated 21 Aug 2026

01

Where this one gets misread

Governance questions get answered with a policy document. The operational answers are configuration, not policy. Who may see what, how long it is kept and what happens on deletion can all contradict the written policy without anyone noticing.

02

Questions to ask

Ask for a worked example on your own material, and the evidence needed to reproduce it.

  • Where does the data physically sit?
  • Who at the vendor can reach it, and under what process?
  • What is the deletion path, and how is deletion proven?
  • Which decisions are logged?
03

How Marella uses the term

We use “Data governance” only where a product mechanism or an evaluation method backs it up, and we say when the behaviour depends on how a deployment is configured.

  • Backed by a product mechanism or an evaluation method
  • Deployment differences flagged

What this page does not prove

  1. B1A definition is not a claim about how the product performs.
  2. B2Vendor implementations vary.
  3. B3Test the term against a representative workflow.

Test the claim on your documents

Pick a real piece of work, agree what a good answer looks like, then go through the results together.