What is one of the steps within the technological step of the proactive method of fraud detection?

The correct answer focuses on the step of analyzing results, which is essential within the technological component of proactive fraud detection. This step involves reviewing and interpreting the data and findings that have been generated through various investigative techniques and tools. Analyzing results allows fraud examiners to identify patterns, anomalies, and potential signs of fraud that may not be apparent at first glance.

Effective analysis of results can lead to actionable insights that help organizations improve their fraud prevention strategies. It allows professionals to validate hypotheses regarding potential fraudulent activities and determine if the data supports the existence of fraud. This analysis is critical in ensuring that fraud detection efforts are based on solid evidence rather than assumptions, enhancing the overall effectiveness of the fraud detection process.

The other steps, while important in the fraud detection process, focus on different aspects of how to identify and understand fraud rather than analyzing the data that has been collected. Cataloging possible fraud symptoms, for instance, is about creating a foundation of knowledge, while understanding the business focuses on grasping operational dynamics. Investigating symptoms directly relates to exploring specific indicators of fraud rather than evaluating the comprehensive results of prior investigations. Therefore, analyzing results stands out as a key element within the proactive method of fraud detection specifically in leveraging technology for effective fraud identification.