What outcome is achieved by using data versioning in data management?

What outcome is achieved by using data versioning in data management?

• A. Improved data security
• B. Tracking of content changes overtime
• C. Immediate deletion of outdated records
• D. Enhanced user access control

Answer: (B)

Using data versioning in data management primarily facilitates the tracking of content changes over time. This practice allows organizations to maintain a historical record of how data has evolved, which can be critical for various reasons such as auditing, compliance, and understanding the context of data changes. By versioning data, every change can be logged and monitored, so users can see the precise evolution of the data, including what changes were made, when they were made, and who made them. This capability is essential for effective data governance and management because it ensures transparency and accountability in data handling processes. Versioning also enables users to restore previous versions of data if necessary, providing a safeguard against data loss or unwanted alterations. Consequently, it plays a significant role in maintaining the integrity of data throughout its lifecycle. This tracking capability helps organizations avoid potential issues related to data misuse or misinterpretation by preserving a comprehensive history of data alterations.

Using data versioning in data management primarily facilitates the tracking of content changes over time. This practice allows organizations to maintain a historical record of how data has evolved, which can be critical for various reasons such as auditing, compliance, and understanding the context of data changes. By versioning data, every change can be logged and monitored, so users can see the precise evolution of the data, including what changes were made, when they were made, and who made them. This capability is essential for effective data governance and management because it ensures transparency and accountability in data handling processes.

Versioning also enables users to restore previous versions of data if necessary, providing a safeguard against data loss or unwanted alterations. Consequently, it plays a significant role in maintaining the integrity of data throughout its lifecycle. This tracking capability helps organizations avoid potential issues related to data misuse or misinterpretation by preserving a comprehensive history of data alterations.