Fraud Analytics
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.
Format
PDF Course
Level
Overview
Duration
1 Hour
Course Information
Author: Steven Bragg
Course Number: AC1044
Learning Objectives
- 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.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Auditing
Prerequisites: None
Advance Preparation: None
Latest Review Date: November 2024
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
