What is data governance?

Data governance answers who is responsible for data, who can access it, what 'good' looks like, and how it must be handled. It is part policy, part process, part tooling.

Core elements:

• Ownership and stewardship clear accountability for datasets.
• Access control who can see or change what, with least-privilege.
• Standards and definitions agreed meanings for key metrics.
• Privacy and compliance handling of PII and regulated data.
• Quality rules and monitoring for accuracy and completeness.

Good governance builds trust; weak governance leads to conflicting numbers and risk.

iDBQuery supports governance in several concrete ways. It queries data in place rather than force-copying it, so data stays within your systems and controls; it offers role-based access control, encryption in transit and at rest, and deployment options up to fully air-gapped so data never leaves your walls. Crucially, its cited answers make every figure auditable back to the exact source row, which supports transparency and trust. And its semantic layer captures agreed definitions of your terms and metrics, helping keep answers consistent across the organisation. iDBQuery is designed to fit within your governance program, not around it.