Transcription of Fraud Detection Using Data Analytics in the …
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DISCUSSION WHITEPAPER Fraud Detection Using data Analytics in the Banking Industry2 DISCUSSION PAPERT able of ContentsWHAT IS Fraud ? ..3 WHO IS RESPONSIBLE FOR Fraud Detection ? ..3 WHY USE data ANALYSIS FOR Fraud Detection ? ..4 ANALYTICAL TECHNIQUES FOR Fraud Detection ..5 Fraud Detection PROGRAM STRATEGIES ..5 BANKING ..6 BANKING RELATED Fraud SCHEMES: ..6 Corruption .. 6 Cash ..6 Billing ..6 Check Tampering ..6 Skimming ..7 Larceny ..7 Financial Statement Fraud ..7 OTHER RESOURCES ..7 ABOUT ACL ..83 DISCUSSION PAPERWhat is Fraud ? Fraud encompasses a wide range of illicit practices and illegal acts involving intentional deception or misrepresentation. The Institute of Internal Auditors International Professional Practices Framework (IPPF) defines Fraud as.
DISCUSSION WHITEPAPER Fraud Detection Using Data Analytics in the Banking Industry
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Data Analytics and Financial Compliance, Data Analytics, Analytics, Internal Auditors, Data Analytics Audit Considerations When, Data Analytics Audit Considerations When Designing, Best Practices for the Use of Data Analysis in Audit, Continuous Controls Monitoring for Transactions, Data, Auditing in the Era of, Risk Management Guide EXECUTIVE SUMMARY, Scenario Implementation and ECL, Scenario Implementation and ECL Calculation for