Fraud Analytics

Strategies and Methods for Detection and Prevention de

Éditeur :

Wiley


Collection :

Wiley Corporate F&A

Paru le : 2014-07-22

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Description
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.
Pages
176 pages
Collection
Wiley Corporate F&A
Parution
2014-07-22
Marque
Wiley
EAN papier
9781118230688
EAN PDF
9781118286999

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
176
Taille du fichier
26071 Ko
Prix
45,15 €
EAN EPUB
9781118282731

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
176
Taille du fichier
4557 Ko
Prix
45,15 €