As this class places strong emphasis on the hands-on experience, you will be working with data for the majority of the time in the class. To optimize the learning experience, it is mandatory for all participants to be equipped with a Window laptop, pre-installed with Microsoft Excel 2010, 2013, 2016 (full licence) or any latest version.

There has been an explosive growth of data over this decade. The advent of “Big Data” has accentuated the challenge of fraud detection.

The traditional approach of sampling check is considered not as effective in view of the huge amount of transaction data.

Forensic analytics leverage on data analysis technique to search the complete database for exceptions to pre-determined rules. These exceptions are further scrutinized and narrowed to a smaller list for investigation for possible fraud and errors.

This course introduces application of forensic analytics to detect fraud and errors in payment transactions:

• Explain how data mining and forensic accounting a powerful tool in forensic data analytics.
• Identify ways to perform fraud risk assessment with fraud scenario.
• Describe how to Integrate fraud test approach procedure within the internal control approach.
• Apply the exceptions to specified business rules with a fraud risk statement approach.
• Demonstrate the fraud test approach into forensic data analytics.

Programme Outline

Training Methodology
Face to face classroom session, power point presentation materials, group discussion, hands on exercise, polls and video clips.
 

Closing Date for Registration
1 week before programme or until full enrolment.

Intended For

• Finance professionals in business
• Internal auditors
• External auditors

Competency Mapping

Category 2 = 2.00 Hours
Others = 5.00 Hours

Programme Facilitator(s)