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The Data Governance Framework provides a clear guideline for managing data within an organization. It ensures that data is consistent, reliable, and secure, which is essential for data-driven decision making.
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Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
A data governance framework defines who makes data decisions, which rules apply, and how compliance is demonstrated.
The approach emerged when distributed data assets required shared rules and accountable ownership for quality, access, and use. NIST describes data governance as a model for authority, management, and decision parameters concerning enterprise data.
The framework is a constitution for data: roles decide, policies set boundaries, processes execute them, and measures show whether they work.
An assigned responsibility for decisions about data.
A binding rule for creating, using, or protecting data.
A role that applies and monitors data rules in a business area.
A framework prevents conflicting data decisions and makes accountability visible. It adds overhead and has no effect when roles exist only on paper or rules never reach processes and controls.
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