Data governance
Effective governance defines who can create or change tracking, which data is trusted, how long it is retained, who may access it, and how incidents or subject requests are handled. It is an operating discipline rather than a single tool. Strong governance makes analytics more reliable while reducing duplicated data, inconsistent metrics, and uncontrolled use.
What is Data governance?
Data governance is the set of roles, policies, standards, and controls used to manage data quality, access, security, privacy, ownership, and lifecycle.
Why it matters
Effective governance defines who can create or change tracking, which data is trusted, how long it is retained, who may access it, and how incidents or subject requests are handled. It is an operating discipline rather than a single tool. Strong governance makes analytics more reliable while reducing duplicated data, inconsistent metrics, and uncontrolled use.
Example
A governance council approves event naming standards, assigns owners to key metrics, reviews access, and sets retention rules for sensitive properties.