Data Governance
Advanced PronunciationEN/ˈdeɪtə ˈɡʌvərnəns/
Data governance is the set of rules, roles and processes that decide what data is recorded, who owns it and how it is allowed to change.
Data governance works through four levers: a naming convention, approval before any new event ships, a named owner for each data domain, and a defined path for deprecation and schema versioning that stays additive so older reports do not break. It is not the same as data quality control: governance sets the rule and the accountability, quality control measures how far reality has drifted from it. The usual failure is letting governance become an approval gate with no owner, at which point teams route around it for speed and the taxonomy grows duplicate names.
FAQ
The amount of governance needed follows the number of teams producing events, not company size. When one person writes every event, two levers suffice: a naming convention and a list of existing events with their meanings. A formal approval and ownership layer earns its cost once several teams feed the same data stream at the same time.
Sources:Mixpanel — Data governance