Unveiling Corporate Deception A Guide To Fraud Detection And Prevention
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Unveiling Corporate Deception: A Guide to Fraud Detection and Prevention
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-10
In a world where trust is paramount and financial integrity is essential, fraud poses a clear and present danger. This comprehensive guide delves into the intricate world of corporate fraud, providing a roadmap for businesses to safeguard their assets, mitigate risks, and navigate the ever-changing landscape of deception. With meticulous precision, this book unravels the nature and scope of fraud, exposing the diverse schemes, red flags, and devastating consequences that can befall unsuspecting organizations. It equips readers with the knowledge and tools necessary to recognize and combat fraud in all its forms, from embezzlement and asset misappropriation to financial statement manipulation and identity theft. Furthermore, this guide emphasizes the critical role of auditors and forensic accountants in detecting and preventing fraud. It delves into the methodologies and techniques employed by these professionals to uncover hidden trails of deceit, analyze financial data, and reconstruct complex transactions. By understanding the strategies and tactics used by fraud examiners, businesses can strengthen their defenses and proactively mitigate risks. This book is not merely a theoretical exploration of fraud; it is a practical resource that provides actionable insights and strategies for fraud prevention and detection. It offers a comprehensive framework for implementing effective internal controls, establishing a strong anti-fraud culture, and leveraging data analytics to identify suspicious activities. Written in an engaging and accessible style, this guide is an invaluable resource for business leaders, accountants, auditors, forensic accountants, law enforcement officials, and anyone seeking to protect their organization from the devastating impact of fraud. It empowers readers to safeguard their assets, uphold ethical standards, and contribute to a more transparent and trustworthy business environment. With its comprehensive coverage of fraud detection, prevention, and investigation techniques, this book serves as an indispensable tool for safeguarding your organization from the growing threat of corporate fraud. If you like this book, write a review!
Expert Fraud Investigation
A fraud investigation is aimed at examining evidence to determine if a fraud occurred, how it happened, who was involved, and how much money was lost. Investigations occur in cases ranging from embezzlement, to falsification of financial statements, to suspicious insurance claims. Expert Fraud Investigation: A Step-by-Step Guide provides all the tools to conduct a fraud investigation, detailing when and how to investigate. This guide takes the professional from the point of opening an investigation, selecting a team, gathering data, and through the entire investigation process. Business executives, auditors, and security professionals will benefit from this book, and companies will find this a useful tool for fighting fraud within their own organizations.
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.