This article explains why data-driven risk management can help you detect occupational fraud risks earlier, and more often, than after-the-event tip-offs.
While fraud tip-offs can be an effective method for detecting fraud schemes, such tips often come too late (if at all). But now, data-driven insights are making it easier for organizations to detect fraud with greater speed and effectiveness.
This article, first published in SCEE CEP Magazine, provides a deep-dive into the topic. It offers guidance around the "what, why and how" of data-driven risk management, as well as illustrative examples and guidance on next steps.
Download the article here to discover:
What data-driven risk management is
How this approach can help detect risk before a tip-off
Why a data-driven approach must be taken seriously by your organizationKey steps to getting started