Fraud Data Analytics Methodology(1st Edition)

Authors:

Leonard W Vona

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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Book details

ISBN: 111918679X, 9781119186793

Book publisher: Wiley

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Book Price $0 : Fraud Data Analytics Methodology by Leonard W Vona is an essential guide for professionals looking to enhance their understanding of financial fraud detection using data analytics. The book intricately lays out a comprehensive fraud auditing methodology, pivotal for auditors, accountants, and analysts in detecting fraudulent activities. Unlike typical solution manuals, this volume provides a methodological framework that goes beyond standard procedures. Leonard W Vona describes the process of structuring a fraud data analytic process, which encompasses identifying potential risk scenarios, collecting relevant data, and using analytics to pinpoint anomalies indicative of fraud. Central to the book is the use of data-driven models and statistical methods to develop predictive analytical techniques, which are well-detailed in the table of contents. Furthermore, Vona provides an answer key to the common challenges faced by fraud auditors in today’s digital economy, particularly focusing on integrating data analytics technology into traditional audit practices. The book has earned a positive reception for its practical applications and real-world case studies, helping professionals move beyond theoretical knowledge to practical implementation. With well-organized chapters, each section untreated serves as a vital module, effectively acting as a hands-on guide rather than just a theoretical discourse. Incorporating cheap strategies for understanding difficult topics, this book is perfect for self-learners.

Customer Reviews

Trusted feedback from verified buyers

MB
Michael Bishop
5.0
As someone working in the risk management sector, 'Fraud Data Analytics Methodology' is an invaluable resource. The methodologies discussed are not only current but also actionable which makes it stand out from other books in this niche. I found the examples particularly enlightening, as they demonstrated real-world applicability. The structure of the book is logical and makes it very easy to follow, even for those new to such complex topics. The book arrived promptly and in excellent condition, which is always a plus. Highly recommended for anyone in the field of fraud detection and prevention.