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Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems
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Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems
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  • Stock Status: Out Of Stock
  • Sold by Wiley India
  • Seller Rating:    0 Reviews
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  • Publisher: Wiley
  • ISBN-13:  9788126567263
  • Total Pages:  400 Pages
  • Book Language:  English
  • Available Book Formats: Paperback
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Fraud Data Analytics is the critical tool in locating and recognizing fraud scenario's in today's core business systems. This book will combine fraud risk assessment and the use of fraud data analytics to assist the auditor in responding to the risk of fraud within their audits. It will demonstrate techniques that have located fraud that was hidden in company databases and focus on proven methodologies that will provide a framework to build your fraud data analytic plan. It will also show you how to build data interrogation search routines into your fraud risk assessment to locate data red flags and locate fraudulent transactions..
Pustak Details
Sold ByWiley India
AuthorLeonard W. Vona
ISBN-139788126567263
FormatPaperback
LanguageEnglish
Pages400 Pages
CategoryACCOUNTING

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Book Description

Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

Fraud Data Analytics is the critical tool in locating and recognizing fraud scenario's in today's core business systems. This book will combine fraud risk assessment and the use of fraud data analytics to assist the auditor in responding to the risk of fraud within their audits. It will demonstrate techniques that have located fraud that was hidden in company databases and focus on proven methodologies that will provide a framework to build your fraud data analytic plan. It will also show you how to build data interrogation search routines into your fraud risk assessment to locate data red flags and locate fraudulent transactions
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