What is the purpose of data classification?

The purpose of data classification is primarily focused on managing data according to its sensitivity and risk level. This process involves categorizing data into different levels or types based on the criticality and confidentiality of the information. By classifying data, organizations can implement appropriate security measures that align with the sensitivity of the data. For example, highly sensitive data might require stricter access controls and encryption, while less sensitive data may not need such rigorous protections.

This classification helps organizations comply with legal and regulatory requirements, enhance risk management practices, and optimize data handling processes. It allows for effective resource allocation and ensures that sensitive information is adequately protected from unauthorized access and potential data breaches.

Other options do not capture the core intent of data classification. While standardizing data may be beneficial, it does not directly address the need for managing data risk based on sensitivity. Deleting unnecessary files and creating backups are important data management practices but are not the primary purpose of data classification, which is specifically concerned with security and risk assessment.