What is the purpose of change management in data protocols?

• A. To align applications and procedures with policy changes, ensuring coordination among applications using the same data.
• B. To speed up data processing regardless of policy.
• C. To prevent any changes to data protocols.
• D. To centralize all data without governance.

Answer: (A)

Change management in data protocols ensures that updates to data handling rules and policies are introduced in a controlled, approved manner so that all applications using the same data stay aligned with current policies. This coordinated approach includes impact assessment, approvals, versioning, and communication, enabling a smooth rollout that preserves data consistency, security, and compliance across systems that rely on the same data. By coordinating changes, organizations prevent mismatches in data definitions and processing rules, reduce the risk of unauthorized or conflicting updates, and maintain traceability of what changed and why.

Speeding up processing without policy alignment can compromise governance; preventing any changes stops necessary improvements; and centralizing data without governance ignores the need to manage updates across systems.