concept

Data Auditing

Data auditing is a systematic process of examining and verifying data to ensure its accuracy, integrity, security, and compliance with regulations or standards. It involves tracking data changes, access patterns, and usage to detect anomalies, prevent fraud, and maintain data quality. This practice is crucial for organizations to build trust in their data assets and meet legal or industry requirements.

Also known as: Data Audit, Audit Trail, Data Compliance, Data Integrity Check, Data Governance
🧊Why learn Data Auditing?

Developers should learn data auditing when building systems that handle sensitive or regulated data, such as in finance, healthcare, or e-commerce, to ensure compliance with laws like GDPR or HIPAA. It helps in debugging data issues, enhancing security by monitoring unauthorized access, and providing transparency for audit trails in applications where data provenance is critical.

Compare Data Auditing

Learning Resources

Related Tools

Alternatives to Data Auditing