Course Detail()

3.50 CPE Hours (Category 1, Category 2, Category 3, Category 4Category 5, Others)
Live Webinar

Programme Objective

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 data base 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.

Programme Outline

This course will help finance officers and professionals to understand how to leverage data analytics to identify outliers and anomalies for better financial governance in ensuring payments reach the intended beneficiaries and recipients. 

We will cover:
  • What, Why, How of the Forensic Analytics Method
  • The linkage of upstream systems: procurement, payroll, employee claims to downstream payment system
  • The vulnerable and risky areas in the upstream and downstream systems
  • Design of business rules to identify outliers/anomalies
  • Exception filters to streamline and narrow all the outliers/anomalies for more detailed scrutiny and investigation
  • Follow up work to ascertain possible fraud and errors

Training Methodology

Lecture style, with practical illustrations involving case scenarios, real life cases and interactive polls 

Closing Date for Registration

1 week before programme or until full enrolment.

Intended For

This introductory course on using forensic analytics to detect fraud in payment transactions is suitable for all those involved in day-to-day payments and related supervisory functions.

Schedule & Fees

Testimonial

Funding

No funding Available!

Programme Facilitator(s)

Programme Objective

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 data base 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.

Programme Outline

This course will help finance officers and professionals to understand how to leverage data analytics to identify outliers and anomalies for better financial governance in ensuring payments reach the intended beneficiaries and recipients. 

We will cover:
  • What, Why, How of the Forensic Analytics Method
  • The linkage of upstream systems: procurement, payroll, employee claims to downstream payment system
  • The vulnerable and risky areas in the upstream and downstream systems
  • Design of business rules to identify outliers/anomalies
  • Exception filters to streamline and narrow all the outliers/anomalies for more detailed scrutiny and investigation
  • Follow up work to ascertain possible fraud and errors

Training Methodology

Lecture style, with practical illustrations involving case scenarios, real life cases and interactive polls 

Closing Date for Registration

1 week before programme or until full enrolment.

Intended For

This introductory course on using forensic analytics to detect fraud in payment transactions is suitable for all those involved in day-to-day payments and related supervisory functions.

Programme Facilitator(s)


No course instances or course instance sessions available.