The primary reason to monitor data classification efforts is to identify deviations in the data that are outside risk thresholds. This is because data classification is a process of organizing and labeling data according to its type, sensitivity, and value to the organization1. Data classification helps to ensure that data is protected and handled appropriately according to its risk level and compliance requirements1. By monitoring data classification efforts, the organization can:

Detect and prevent any unauthorized access, modification, or disclosure of sensitive or confidential data2

Identify and mitigate any potential threats or vulnerabilities that could affect the availability, integrity, or quality of data2

Evaluate and improve the effectiveness and efficiency of data classification policies, procedures, and tools2

Ensure alignment and consistency of data classification across different systems, applications, and processes2

Report and communicate the status and results of data classification to relevant stakeholders2

Monitoring data classification efforts can help the organization to manage and reduce the risks associated with data and to comply with relevant industry-specific regulatory mandates such as SOX, HIPAA, PCI DSS, and GDPR1.

References := Data Classification: Overview and Best Practices | Ground Labs, What Is Data Classification? The 5 Step Process & Best Practices for Classifying Data | Splunk