I. Data Classification and Categorization
Data Classification and Categorization involves assigning relevant labels or codes to data based on its content, relevance, and sensitivity. This step is crucial in organizing and structuring the data for efficient analysis and decision-making. A systematic approach is taken to classify data into predefined categories such as confidential, public, high-risk, low-risk, or other predetermined tags. The categorization process also considers factors like data format, ownership, and security requirements to ensure accurate labeling. Furthermore, this stage involves evaluating the validity and completeness of the data to prevent misclassification. Effective classification and categorization enable streamlined workflows, improved data integrity, and enhanced decision-making capabilities by facilitating targeted data retrieval, filtering, and reporting.