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GSM Association Certified Fraud Training Programme (Analyzing Fraud & Fraud Risk Management)
Register for this training course


Course Aim
To provide the ability to analyze complex relationships within a set of data using a variety of charting techniques and logical thinking processes. To ensure an understanding of the elements of fraud risk management and provide the ability to establish the function within a departmental context.

Learning Outcomes
On the conclusion of this course the delegate should be able to:-

  • Explain, compare and contrast the intelligence, analysis, investigations and prevention processes.
  • Identify primary and secondary sources of data/information to solve specific questions and problems and the means to gather and evaluate its reliability and validity.
  • Explain and apply the link analysis technique with an intelligence analysis process.
  • Explain the purpose of commodity flow charting and develop a flow matrix and chart.
  • Explain the purpose of event charting and construct event sequence, cause and effect and matrix charts.
  • Explain the purposes of activity charting and develop an activity chart
  • Distinguish between inductive and deductive logic and understand how to apply such logic in generating an inference framework.
  • Understand the basic concept of subjective, conditional probability and provide a practical method of assessing inferences.
  • Identify a range of analysis outputs and the factors to consider when disseminating them.
  • Identify the components of an information system and how to use such systems in business, particularly in support of decision making, control and coordination.
  • Describe the role of general and specific software applications in analysis activities.
  • Explain the scope, application and definitions applicable to fraud risk management
  • Understand the management requirements in terms of policy, planning and responsibilities
  • Describe the main elements of the process
  • Reproduce a process flow chart outlining the main elements
  • List types of risk analysis available
  • Outline the generic sources of risk and areas of impact
  • Define and classify risk
  • Populate a qualitative risk analysis matrix
  • Calculate an impact scale against identified risks
  • Understand and apply risk treatments
  • Understand principles of internal fraud management

Target Audience: Those required to develop and test investigation theory, use open sources data and analyze findings. Personnel involved with revenue assurance through fraud management.
Duration: 4 Days
Dates: Sep 9 - 12
Fees: N280,000


For enquiries:
1. Call Jason 0803 5861053
2. E-mail us for a nomination form at ise@phillipsconsulting.net