Fraud Data Analytics Methodology - (Wiley Corporate F&a) by Leonard W Vona (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><b>Uncover hidden fraud and red flags using efficient data analytics</b> <p><i>Fraud Data Analytics Methodology</i> addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. <p>Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. <ul> <li>Locate hidden signs of fraud</li> <li>Build a holistic fraud data analytic plan</li> <li>Identify red flags that lead to fraudulent transactions</li> <li>Build efficient data interrogation into your audit plan</li> </ul> <p>Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. <i>Fraud Data Analytics Methodology</i> gets you up to speed, with a brand new tool box for fraud detection.<p/><br></br><p><b> From the Back Cover </b></p></br></br><p>Fraud doesn't stand out within millions of transactions. To further complicate matters, every data anomaly isn't necessarily fraud. To be successful at fraud data analytics, you must develop a skillful balance of hard science and practiced art to see the suspect scenarios like watermarks in the spreadsheets. <i>Fraud Data Analytics Methodology</i> lays out a convenient, detailed collection of the most common fraud scenarios and how they manifest in every core business system. <p>Written by a financial investigator with more than thirty years of practice, including extensive trial experience in state and federal courts, this guiding reference offers a step-by-step fraud data analytics methodology for effectively analyzing data with a goal of selecting transactions for audit examination. It opens with a straightforward primer on fraud data analytics to give you everything you need to understand and use the covered approach. From creating fraud scenarios to writing the fraud data analytics plan to the strategies for identifying red flags, comprehensive coverage is easily accessible and requires no advanced software skills. Every chapter includes a summary of critical points to remember for quick reference and a list of the most common pitfalls to avoid. While you may not always know the type of fraud being committed, this methodology ensures you find and identify every variation of fraud scenario by: <ul> <li>Thoroughly demonstrating how to use fraud data analytics to uncover asset misappropriation, corruption, and financial reporting schemes, including how the fraud scenario correlates to each phase of the audit</li> <li>Providing direction on how and when to use specific strategies, along with guidance on locating fraud scenarios at all levels of concealment</li> <li>Nailing down the ten key questions to answer when creating a fraud data analytics audit program, and the eight-step process for customizing a data interrogation routine to locate fraud scenarios</li> </ul> <p>Perpetrators always leave a trail of their crimes in your data systems, and <i>Fraud Data Analytics Methodology</i> is your surefire way to find them.<p/><br></br><p><b> About the Author </b></p></br></br><p><b>LEONARD W. VONA, CPA, CFE, </b> is the CEO of Fraud Auditing and a world-renowned authority in fraud auditing. He has provided expert witness testimony in federal and state courts; consulted with corporations around the world; and is the author of <i>Fraud Risk Assessment: Building the Fraud Audit Program</i> and <i>The Fraud Audit: Responding to the Risk of Fraud in Core Business Systems, </i> both published by Wiley. A forensic auditor with more than 38 years of diversified forensic auditing experience, he has provided more than 1,500 days of fraud training around the world.
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