Data Governance

Data Governance is the organizational framework with which organizations manage data over its entire lifecycle. This includes responsibilities, rules, quality requirements, access concepts and evidence of how data is created, used, stored and deleted. The goal is not only order in data holdings, but reliable decision-making bases for business units, IT and management. Data governance thus creates the prerequisite for making data usable securely, consistently and economically.

In practice, data governance combines functional responsibilities with technical controls. Roles such as data owner or data steward define who is responsible for data, who approves changes and which standards apply. This becomes particularly important when data from many systems is brought together or is to be used for automation, reporting and AI. A reliable basis for this is clean data flows and Data Integration. For policies, security and traceability, Governance and Security is also a central point of reference.

Data governance is closely linked to data protection, compliance and operational control, but goes beyond them. While Data Protection primarily describes the protection of data, data governance defines how data is owned, assessed and used in a controlled manner. Implemented well, it reduces risks, avoids contradictory data states and increases trust in reports, processes and decisions.

See also: Cyber Risk Management and Security Posture.