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ACL 252 – Fraud Workshop


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Designed for intermediate-level users of ACL™, this two-day workshop introduces you to the use of ACL in fraud detection. In an interactive, hands-on environment, you will learn how to create tests for transaction authorisation and validation and how to perform trend analysis on employee and merchant activity.

Learning Objectives

By the end of this workshop, you will be able to:

  • Perform data analysis tests to identify anomalies and policy noncompliances
  • Perform trend analysis on the anomalies to identify cause and fraudulent activity
  • Verify data quality and integrity
  • Test transaction authorisation and validation
  • Create tests for purchasing and payables, travel and entertainment expenses, and procurement card expenses
  • Describe the Benford’s Law theory and use Benford tests in ACL

Who Should Attend

Financial, Operational, External Auditors, Information Systems Auditors, and Audit Management.

Program Level

This is an intermediate-level course.

Prerequisites

Completion of an ACL 105 course is strongly recommended or at least six months previous experience using ACL for data analysis. Participants should also have a background in fraud detection.

Course Method

This is a group-live, instructor-led course in a classroom setting. For inclass activities, participants use  the latest version of ACL. The class size supports individual attention and development.

To take this course

There are two ways to take this course:

Open Enrollment

Open enrollment classes are held at business centres around Australia.

On-site

Bring the course to your organisation. This option works best when there are five or more people who require training. For more information, please contact us.

 

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Client Testimonials

Our business, Specialty Fashion Group, processes over 50,000 payments a year. The Satori Eagle Eye solution has enabled us to reduce our error rate, with a focus on minimising duplicate payments an...

Chris Gillian, Group Financial Controller

 

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NZ: 0800-449-647
support@acl.com

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