Which objective best describes data governance?

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Multiple Choice

Which objective best describes data governance?

Data governance focuses on establishing and enforcing the framework that makes data trustworthy and usable across the organization. The best objective is to ensure data assets are formally managed: clear ownership and responsibilities, standardized definitions and quality rules, metadata and lineage tracking, policy enforcement, and compliance with applicable laws and rules. When data assets are formally managed, decisions are based on consistent, well-defined data, and there’s accountability for how data is created, stored, used, and protected. The other ideas aren’t as fitting because governance isn’t just about restricting access, reducing storage, or speeding up data. Governance balances access with appropriate controls, but its goal is the structured, policy-driven management of data, not primarily limiting use or focusing on volume or speed.

Data governance focuses on establishing and enforcing the framework that makes data trustworthy and usable across the organization. The best objective is to ensure data assets are formally managed: clear ownership and responsibilities, standardized definitions and quality rules, metadata and lineage tracking, policy enforcement, and compliance with applicable laws and rules. When data assets are formally managed, decisions are based on consistent, well-defined data, and there’s accountability for how data is created, stored, used, and protected.

The other ideas aren’t as fitting because governance isn’t just about restricting access, reducing storage, or speeding up data. Governance balances access with appropriate controls, but its goal is the structured, policy-driven management of data, not primarily limiting use or focusing on volume or speed.

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