Data Governance Framework

For data governance framework, data governance means setting up the policies, roles, and procedures that ensure data is accurate, accessible, protected, and used responsibly. It covers how data is collected, stored, shared, and secured to support reliable decision‑making and meet legal requirements.

For data governance framework, a data governance framework is an organizational structure that defines how data is managed, who is responsible for it, and what standards apply. In a call center, this framework ensures customer and operational data remains consistent, secure, and compliant across all systems and processes.

For data governance framework, the core principles include ensuring data quality so information is accurate and trustworthy, defining clear management practices for handling data throughout its lifecycle, and establishing strong security measures to protect data from misuse or unauthorized access.

For data governance framework, practical examples include setting up processes to regularly clean and validate data, defining access rights so only authorized staff can view or change certain information, creating a catalog that explains what data exists and how it is used, and performing audits to check that policies are followed and data stays compliant.