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Data mining as a tool in fraud investigation

The Auditor-General of South Africa leverages data mining to strengthen oversight and accountability, fostering public confidence. This project involves developing a fraud scoring model aligned with audit methodology for effective fraud detection. The guide covers fraud detection techniques, fraud scoring model definition, and practical implementation, emphasizing building a robust platform for fraud investigation.

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Data mining as a tool in fraud investigation

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  1. 29 June 2015 Data mining as a tool in fraud investigation

  2. Reputation promise/mission The Auditor-General of South Africa has a constitutional mandate and, as the Supreme Audit Institution (SAI) of South Africa, exists to strengthen our country’s democracy by enabling oversight, accountability and governance in the public sector through auditing, thereby building public confidence.

  3. Outline • Project timeline • Development of analytical model • Guide status • Comments

  4. Project timeline

  5. Development of analytical model Country assignments: To design and submit a fraud scoring model for their SAI using and considering their audit methodology.

  6. Guide status • Purpose of the guide • Completed • Completed • Definition of fraud • In progress • Fraud detection • Fraud scoring model • Evaluate: Country assignments • Building of the platform • Building of the platform

  7. Guide status: Fraud detection Known schemes - Normal practice Unknown schemes ISA 240 Audit risk analysis

  8. Guide status: Fraud scoring model Country assignments - Two (2) members responded Methodology What brings everything together? Elements to form a picture; instructions to draw the picture SAI SA : practical implementation

  9. Guide status: Fraud methodology Conclusion

  10. Guide status: Building the platform Software independent guide Methodology and fraud scoring model Decision tree Flowcharting

  11. Comments Tobie Bruyns (CISA)email: tobieb@agsa.co.zatelephone:+27 12 422 9831SAI – South Africa

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