Internal audit data analytics

Internal audit data analytics refers to the use of advanced data analysis techniques to enhance internal auditing processes. By leveraging tools like SQL, Python, or AI-driven software, auditors can identify anomalies, detect fraud, and assess compliance risks more efficiently. Common applications include transaction monitoring, trend analysis, and predictive risk assessment. Data analytics improves audit accuracy, reduces manual effort, and enables real-time insights into financial and operational activities. As organizations become more data-driven, integrating analytics into internal audits

Shaunstoltz0 + Follow