Transcription of Fraud Detection Using Data Analytics in the Banking Industry
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Fraud Detection Using Data Analytics in the Banking Industry
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.
5 ISCSSI PAPER Analytical Techniques for Fraud Detection Getting started requires an understanding of: The areas in which fraud can occur What fraudulent activity would look like in the data What data sources are required to test for indicators of fraud “ACL Analytics Exchange leverages ACL’s proven analytical strengths to provide auditors with a means to
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