Data Governance Definition
Data Governance is the set of rules, roles, and processes that define how data is created, maintained, and used across an organization.
It answers practical questions: who is allowed to change a product record, what approval is required before data is published, and what standards must a record meet before it is considered complete.
What does data governance cover?
Governance typically defines three things:
- Ownership — which team or individual is responsible for a given set of data
- Standards — what a valid, complete record looks like (required fields, accepted values, naming conventions)
- Processes — how data moves through review, approval, and publication workflows
Why does it matter in a PIM or ERP context?
Without governance, product data degrades quickly. Different teams apply inconsistent naming, required fields get skipped, and changes are made without oversight or record. A PIM system can enforce governance rules technically, by making certain fields mandatory or routing changes through an approval workflow, but the rules themselves need to be defined by the organization first.
Is data governance the same as data quality?
They are related but distinct. Data governance is the framework that sets the rules. Data quality is the measure of how well the data actually meets those rules. Good governance is what makes sustained data quality possible.
