Fraud Analytics – Strategies and Methods for Detection and Prevention Strategies and Methods for Detection and Prevention

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention

Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA.
* Looks at elements of analysis used in today's fraud examinations
* Reveals how to use data mining (fraud analytic) techniques to detect fraud
* Examines ACL and IDEA as indispensable tools for fraud detection
* Includes an abundance of sample cases and examples

Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

Fraud Analytics will depict the elements of analysis that are used in todays fraud examinations, fraud investigations, and financial crime investigations. It will review the types of anlysis that should be considered prior to beginning an investigation.  For example, in a financial crimes investigation (e.g. money laundering) it helps to create a commodity flow analysis chart associating the red flags to suspects and/or organizations. It will show how to use data mining techniques to detect fraud, review the two major data analytics providers, ACL and IDEA and show how valuable a tool this is for investigators and auditors.  Throughout, examples will be provided along with sample cases to show readers how the concepts discussed work in practice.

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.