Daudits

Daudits is a term used to describe a structured approach to auditing data and digital processes within information systems. It blends data and audits and is employed in data governance, risk management, and regulatory compliance to provide ongoing assurance of data integrity and policy adherence through automated workflows.

Core components include data quality metrics such as completeness, accuracy, and consistency; data lineage tracing from source to destination; immutable audit trails of data changes; access logs; and automated policy checks against internal standards and external regulations.

Methodology relies on automated data profiling, sampling, validation, anomaly detection, version control, and reproducible audit workflows. It is supported by data governance platforms, ETL/ELT tooling, data catalogs, and continuous monitoring dashboards.

Applications span finance, healthcare, energy, and public sector domains where data integrity is critical for reporting, risk management, and investigations; daudits support regulatory reporting and governance oversight.

Standards and governance considerations include alignment with data quality frameworks such as ISO 8000 and privacy requirements under GDPR or HIPAA, as well as information security management.

Challenges include data silos, privacy concerns during profiling, scalability across large datasets, unclear ownership, and potential false positives; success depends on clear stewardship and careful integration with existing systems.