Financial executives, internal auditors, and compliance and risk teams are getting a whole lot savvier about how to reduce enterprise-wide risks these days, thanks in large part to forensic data analytics.
Collecting and analyzing data to reduce compliance, financial, and fraud risks is not a new concept, but historically it has been limited by archaic and time-consuming manual processes. That’s where advances in forensic data analytics—such as artificial intelligence, machine learning, and robotic process automation—is changing the face of compliance, risk, and internal audit capabilities today.
