Fraud Analytics
Uncover hidden fraud buried within vast amounts of accounting data. This course shows you how to identify fraud symptoms and apply targeted data analysis techniques to expose irregularities. Use tools such as Benford’s Law, break-point analysis, cross-matching, outlier analysis, and pattern analysis to isolate suspicious transactions. Develop a structured investigative approach that turns raw data into actionable insights and helps detect fraud before it escalates.
Format
PDF Course
Course Lists
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.
