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Data Engineering › Data Governance & Privacy

Data Governance

The policies and roles that decide how data is managed and used.

Also known as: data governance framework, data management policies, governing data, data stewardship policy

Data governance is the set of policies, roles and processes that decide how data is managed and used across an organisation: who can access it, what it means, how good it must be, how long it is kept, and who is accountable when something goes wrong. It is more organisational than technical, though tooling makes it practical.

Without it, things drift. Every team copies the customer table, defines “active customer” differently, and grants its own access. The classic failure: a regulator or an executive asks “where does this personal data live, who can see it, and who approved it?”, and no one can answer.

What governance covers

Trade-offs

Governance that is only documents and committees slows everyone down and gets bypassed. Governance that is absent produces chaos, breaches and untrustworthy numbers. The workable middle is to match control to sensitivity and value: strict rules and enforcement for restricted and regulated data, lighter guidance for the rest. Embed the rules in the tools people already use, so compliance is the default rather than an extra step.

Start with the data that matters most and the obligations you actually have, and grow from there. An unused policy is not governance.