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Forensic Analytics

Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 9781118087633
Size: 19.86 MB
Format: PDF, ePub
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Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.

Benford S Law

Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 1118286863
Size: 47.49 MB
Format: PDF, Kindle
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A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been altered Benford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election data Includes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasion Covers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short sales Looks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and more Examines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number invention Benford's Law has 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources.

Using Analytics To Detect Possible Fraud

Author: Pamela S. Mantone
Publisher: John Wiley & Sons
ISBN: 1118715985
Size: 67.68 MB
Format: PDF, ePub, Mobi
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Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Fraud And Fraud Detection Website

Author: Sunder Gee
Publisher: John Wiley & Sons
ISBN: 1118779657
Size: 25.41 MB
Format: PDF, ePub, Mobi
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This book takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. You will learn to: understand the different areas of fraud and their specific detection methods; identify anomalies and risk areas using computerized techniques; develop a step-by-step plan for detecting fraud through data analytics; utilize IDEA software to automate detection and identification procedures. The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. --

Fraud Data Analytics Methodology

Author: Leonard W. Vona
Publisher: John Wiley & Sons
ISBN: 111918679X
Size: 54.14 MB
Format: PDF, ePub, Docs
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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology 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. 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. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan 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. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

Data Mining For Intelligence Fraud Criminal Detection

Author: Christopher Westphal
Publisher: CRC Press
ISBN: 9781420067248
Size: 48.65 MB
Format: PDF, ePub, Mobi
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In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn’t worth much unless we can determine that these systems are being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort. Organized into three main sections, the book fully examines and outlines the future of this field with an insider’s perspective and a visionary’s insight. Section 1 provides a fundamental understanding of the types of data that can be used in current systems. It covers approaches to analyzing data and clearly delineates how to connect the dots among different data elements Section 2 provides real-world examples derived from actual operational systems to show how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, narcotics trafficking, and corporate fraud Section 3 provides an overview of the many information-sharing systems, organizations, and task forces as well as data interchange formats. It also discusses optimal information-sharing and analytical architectures Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed.

A Guide To Forensic Accounting Investigation

Author: Steven L. Skalak
Publisher: John Wiley & Sons
ISBN: 1118017714
Size: 57.74 MB
Format: PDF, Docs
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Recent catastrophic business failures have caused some to rethink the value of the audit, with many demanding that auditors take more responsibility for fraud detection. This book provides forensic accounting specialists?experts in uncovering fraud?with new coverage on the latest PCAOB Auditing Standards, the Foreign Corrupt Practices Act, options fraud, as well as fraud in China and its implications. Auditors are equipped with the necessary practical aids, case examples, and skills for identifying situations that call for extended fraud detection procedures.

Financial Forensics Body Of Knowledge

Author: Darrell D. Dorrell
Publisher: John Wiley & Sons
ISBN: 1118218981
Size: 34.39 MB
Format: PDF, Docs
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The definitive, must-have guide for the forensic accounting professional Financial Forensics Body of Knowledge is the unique, innovative, and definitive guide and technical reference work for the financial forensics and/or forensic accounting professional, including nearly 300 forensic tools, techniques, methods and methodologies apply to virtually all civil, criminal and dispute matters. Many of the tools have never before been published. It defines the profession: "The Art & Science of Investigating People & Money." It defines Forensic Operators: "…financial forensics-capable personnel… possess unique and specific skills, knowledge, experience, education, training, and integrity to function in the financial forensics discipline." It defines why: "If you understand financial forensics you understand fraud, but not vice versa" by applying financial forensics to all aspects of the financial community. It contains a book-within-a-book Companion Section for financial valuation and litigation specialists. It defines foundational financial forensics/forensic accounting methodologies: FAIM, Forensic Accounting Investigation Methodology, ICE/SCORE, CICO, APD, forensic lexicology, and others. It contains a Reader Lookup Table that permits everyone in the financial community to immediately focus on the pertinent issues.

Fraud Auditing And Forensic Accounting

Author: Tommie W. Singleton
Publisher: John Wiley & Sons
ISBN: 047087791X
Size: 22.60 MB
Format: PDF, Docs
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Praise for the Fourth Edition of Fraud Auditing and Forensic Accounting "Tommie and Aaron Singleton have made important updates to a book I personally rely very heavily upon: Fraud Auditing and Forensic Accounting (FAFA). In the newest edition, they take difficult topics and explain them in straightforward actionable language. All my students benefitted from reading the third edition of the FAFA to better understand the issues and area of fraud and forensic accounting. With their singular focus on understandability and practicality, this Fourth Edition of the book makes a very important contribution for academics, researchers, practitioners, and students. Bravo!"—Dr. Timothy A. Pearson, Director, Division of Accounting, West Virginia University, Executive Director, Institute for Fraud Prevention "Finally someone has written a book that combines fraud examination and forensic accounting. The authors have clearly explained both in their earlier edition and now they have enhanced the first with additional materials. The order in which the material is presented is easy to grasp and logically follows the 'typical' fraud examination from the awareness that something is wrong to the court case. The explanatory materials presented aid this effort by being both well placed within the book and relevant to the narrative." —Dr. Douglas E. Ziegenfuss, Chair and Professor, Department of Accounting, Old Dominion University "Fraud Auditing and Forensic Accounting is a masterful compilation of the concepts found in this field. The organization of the text with the incorporation of actual cases, facts, and figures provides a logical and comprehensive basis for learning the intricacies of fraud examination and forensic accounting. The authors successfully blend the necessary basics with advanced principles in a manner that makes the book an outstanding resource for students and professionals alike."—Ralph Q. Summerford, President of Forensic/Strategic Solutions, PC

The Complete Guide To Spotting Accounting Fraud Cover Ups

Author: Martha Maeda
Publisher: Atlantic Publishing Company
ISBN: 160138212X
Size: 19.87 MB
Format: PDF, Kindle
View: 2977
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In 2009, high-profile fraud cases like the Ponzi schemes of Bernard Madoff and Arthur Nadel vividly illustrated the harm done to investors who placed their trust in these apparently successful money managers and then discovered their money had never been invested at all. News stories featured 90-year-olds forced by necessity to work in supermarkets, elderly people losing their homes because their life savings were gone, and wealthy retirees suddenly unable to pay their electricity bills. Charities were forced to curtail their services, lay off staff, and even close their doors forever as their funds evaporated. Almost every day, there are stories in the media about dishonest employees who have robbed their organisations of hundreds of thousands of dollars. Not so well-publicised are the countless smaller thefts occurring every day from cash registers, warehouses, and business bank accounts. Sadly, the organisations that have the most to lose small businesses, family-run companies, churches, and charities are often the most vulnerable because of their size and inexperience. According to the Association of Certified Fraud Examiners, accounting fraud cost over $994 billion in 2008, and the average organisation lost 7 percent of its total revenue to fraud. How can you prevent this from happening to you as an investor, business owner, or a person attempting to acquire or merge with another firm? Read this book and you will be able to understand, detect, and avoid accounting fraud. You will learn how to identify fraud, how to spot minor abnormalities that may hide fraud, how to spot forgeries, and how to prove your case, as well as what to immediately suspect and methods for uncovering scams. You will know what signs to look for, including excessive turnover of lawyers and auditors, changing professionals in the middle of a transaction, inconsistent information, and significant declines in stock prices. In addition, you will know how to recognise the common manoeuvres, earnings manipulation, premature and fictitious revenue, overvalued assets, undervalued liabilities, bogus revenue, expenses that have been shifted to another period, overstating revenues, understating expenses, and the misuse and misdirecting of funds. This new book is filled with studies and discussions of fraud cases and how they could have been avoided, checklists for detecting accounts misdeeds, and advice from analysts, CFOs, and CPAs. This manual will be an indispensable aid for serious investors, industry pros, acquisition and merger managers, and small business owners alike. After reading this book you will no longer have to worry about accounting fraud and you can increase your company's profits.