What is the primary purpose of data classification?

The primary purpose of data classification is to tag data with metadata for efficient management. This practice involves organizing data into categories based on specific criteria, such as sensitivity, significance, or compliance requirements. By tagging data appropriately, organizations can streamline their data management processes, ensure that sensitive information is protected according to its classification (such as confidential or public), and facilitate efficient retrieval and use of data when needed.

Effective data classification allows organizations to apply appropriate security controls, determine who can access different types of data, and comply with regulatory requirements more easily. The use of metadata in classification aids in data governance, retention policies, and risk management, creating a structured approach to handling information assets.

Other options do not align with the core purpose of data classification. Reducing data access speeds or increasing storage costs does not reflect the intention behind classifying data. Additionally, while data classification might govern access, it does not inherently prevent data from being searched, which is an essential function for data retrieval and usability.