Cases of fraud are deeply hidden within the mass of accounting data in a business. Usually, only a great deal of effort will bring them to light. In the Fraud Analytics course, we cover how to find fraud - through the analysis of fraud symptoms and the use of data analysis techniques, such as Benford's Law, break-point analysis, cross-matching, outlier analysis, and pattern analysis.
Learning Objectives
Upon successful completion of this course, participants will be able to:
Recognize the elements of the fraud triangle.
Recall the indicators of fraud.
Recognize how various data analysis techniques can be applied to the detection of fraud.
Major Topics
Fraud Triggers
Fraud Symptoms
Data Analysis
Data Analysis Techniques
Benford's Law
Ease of Detection
Cost-Effectiveness of Investigation
Investigation Labor
