What should be avoided to maintain strong data integrity?

To maintain strong data integrity, using outdated data processing methods should be avoided because such methods can lead to inaccurate data handling, increase vulnerability to errors, and introduce security risks. Outdated technologies may not support modern encryption standards, may not include recent security patches, and might lack compatibility with newer data validation techniques. This can compromise the overall reliability and accuracy of data, leading to potential breaches or loss of trust in the data management process.

The other options represent best practices in ensuring data integrity. Regular data audits help in identifying discrepancies or corrupted data, frequent updates to data processes keep systems aligned with the latest standards and practices, and implementing access controls ensures that only authorized personnel can modify the data, further protecting it from unauthorized changes.