Working With the Report Generator | TestComplete Documentation

Open the datasets (e.g., using Python/Pandas or Excel) to confirm that sensitive fields are truly masked (e.g., names are replaced with "XXXX", emails are scrambled).

Unzip Masked_Tanned.zip into a dedicated directory.

An Excel, PDF, or JSON file documenting the successful completion of the masking process. 3. Steps to Analyze & Generate Final Report

Ensure that the masked data is still useful for testing (e.g., valid email formats remain, numerical data maintains realistic ranges). Generate Summary Report: Create a summary documenting: File List: What was extracted? Masking Effectiveness: Did any PII leak? Data Completeness: Is the structure intact? 4. Security Considerations Ensure the .zip file is handled securely.

The masked data should be handled in compliance with privacy regulations (GDPR, CCPA), as masked data can sometimes still be re-identified if not done correctly. To give you a better report, could you tell me:

Files detailing which columns were masked and what rules were applied.

Once I know that, I can help you with specific steps to check for or to verify if the masked data is ready for testing .