Which statement best describes data governance?

Which statement best describes data governance?

• A. It handles day-to-day data operations and analytics.
• B. It defines policies and decision rights for data.
• C. It measures system performance.
• D. It designs database schemas.

Answer: (B)

Data governance is about creating and enforcing the rules, roles, and processes that guide how data is managed across an organization. It defines policies, assigns decision rights, and establishes accountability for data assets, covering aspects like data quality, privacy, security, usage, and lifecycle. This framework ensures consistency, regulatory compliance, and trusted data so that the organization can rely on its data for decisions and operations. The other activities described—handling day-to-day data operations and analytics, measuring system performance, and designing database schemas—are not governance themselves. Day-to-day operations and analytics focus on how data is used and processed in daily tasks; measuring system performance pertains to IT monitoring and optimization; designing database schemas relates to data architecture and how data is structured. Governance sits above these activities, setting the policies and decision rights that guide them.

Data governance is about creating and enforcing the rules, roles, and processes that guide how data is managed across an organization. It defines policies, assigns decision rights, and establishes accountability for data assets, covering aspects like data quality, privacy, security, usage, and lifecycle. This framework ensures consistency, regulatory compliance, and trusted data so that the organization can rely on its data for decisions and operations.

The other activities described—handling day-to-day data operations and analytics, measuring system performance, and designing database schemas—are not governance themselves. Day-to-day operations and analytics focus on how data is used and processed in daily tasks; measuring system performance pertains to IT monitoring and optimization; designing database schemas relates to data architecture and how data is structured. Governance sits above these activities, setting the policies and decision rights that guide them.