shaun stoltz

Internal audit data analytics is the process of using advanced data analysis tools and techniques to enhance the effectiveness, accuracy, and efficiency of internal audits. By examining entire datasets rather than samples, auditors can uncover trends, anomalies, and potential risks in real time. This approach supports better decision-making, continuous monitoring, and stronger internal controls. As organizations face growing complexity and regulatory pressure, internal audit data analytics provides the insights needed to proactively identify issues and drive operational improvements. Embracing this strategy transforms traditional audits into value-added activities that contribute directly to organizational performance and risk management.