Fraud Data Analytics Methodology Fraud S

Leonard W. Vona

• 03 maart 2017
• 9781119186793

Samenvatting:

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. Fraud Data Analytics Methodology lays out a convenient, detailed collection of the most common fraud scenarios and how they manifest in every core business system.

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:

• 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
• Providing direction on how and when to use specific strategies, along with guidance on locating fraud scenarios at all levels of concealment
• 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