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Book Fraud Analysis Techniques Using ACL

Download or read book Fraud Analysis Techniques Using ACL written by David Coderre and published by John Wiley & Sons. This book was released on 2009-07-23 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: "When people ask me what they can do to better utilize ACL, I tell them, 'Take an instructor lead course, participate in the ACL Forum, and study (not read, study) David Coderre's Fraud Analysis Techniques Using ACL.' I studied this book, and would not be where I am today without it. Even without the anti-fraud material, the book is worth the investment as a tool to learning ACL!" —Porter Broyles, President and founder of the Texas ACL User Group, Keynote Speaker at ACL's 2009 San Francisco Conference, Official ACL Super User "For individuals interested in learning about fraud analysis techniques or the art of ACL scripting, this book is a must-read. For those individuals interested in learning both, this book is a treasure." —Jim Hess, Principal, Hess Group, LLC Your very own ACL Fraud Toolkit—at your fingertips Fraud Analysis Techniques Using ACL offers auditors and investigators: Authoritative guidance from David Coderre, renowned expert on the use of computer-assisted audit tools and techniques in fraud detection A website containing an educational version of ACL from the world leader in fraud detection software An accompanying website containing a thorough Fraud Toolkit with two sets of customizable scripts to serve your specific audit needs Case studies and sample data files that you can use to try out the tests Step-by-step instructions on how to run the tests A self-study course on ACL script development with exercises, data files, and suggested answers The toolkit also contains 12 'utility scripts' and a self-study course on ACL scripting which includes exercises, data files, and proposed answers. Filled with screen shots, flow charts, example data files, and descriptive commentary highlighting and explaining each step, as well as case studies offering real-world examples of how the scripts can be used to search for fraud, Fraud Analysis Techniques Using ACL is the only toolkit you will need to harness the power of ACL to spot fraud.

Book Fraud Analytics

Download or read book Fraud Analytics written by Delena D. Spann and published by John Wiley & Sons. This book was released on 2014-07-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

Book Computer Aided Fraud Prevention and Detection

Download or read book Computer Aided Fraud Prevention and Detection written by David Coderre and published by John Wiley & Sons. This book was released on 2009-03-17 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates

Book Fraud Analytics Using Descriptive  Predictive  and Social Network Techniques

Download or read book Fraud Analytics Using Descriptive Predictive and Social Network Techniques written by Bart Baesens and published by John Wiley & Sons. This book was released on 2015-07-27 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Fraud Detection

    Book Details:
  • Author : David G. Coderre
  • Publisher :
  • Release : 1999
  • ISBN : 9780968440087
  • Pages : 256 pages

Download or read book Fraud Detection written by David G. Coderre and published by . This book was released on 1999 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Forensic Analytics

Download or read book Forensic Analytics written by Mark J. Nigrini and published by John Wiley & Sons. This book was released on 2020-04-20 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.

Book Improving E Commerce Web Applications Through Business Intelligence Techniques

Download or read book Improving E Commerce Web Applications Through Business Intelligence Techniques written by Sreedhar, G. and published by IGI Global. This book was released on 2018-02-02 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Internet becomes increasingly interconnected with modern society, the transition to online business has developed into a prevalent form of commerce. While there exist various advantages and disadvantages to online business, it plays a major role in contemporary business methods. Improving E-Commerce Web Applications Through Business Intelligence Techniques provides emerging research on the core areas of e-commerce web applications. While highlighting the use of data mining, search engine optimization, and online marketing to advance online business, readers will learn how the role of online commerce is becoming more prevalent in modern business. This book is an important resource for vendors, website developers, online customers, and scholars seeking current research on the development and use of e-commerce.

Book Forensic Analytics

Download or read book Forensic Analytics written by Mark J. Nigrini and published by John Wiley & Sons. This book was released on 2011-05-12 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book ACL and Fraud Detection  Exploring ACL Fraud Application Templates

Download or read book ACL and Fraud Detection Exploring ACL Fraud Application Templates written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications

Download or read book Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications written by Obaid, Ahmed J. and published by IGI Global. This book was released on 2023-01-03 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, falsification and digital modification of video clips, images, as well as textual contents have become widespread and numerous, especially when deepfake technologies are adopted in many sources. Due to adopted deepfake techniques, a lot of content currently cannot be recognized from its original sources. As a result, the field of study previously devoted to general multimedia forensics has been revived. The Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications discusses the recent techniques and applications of illustration, generation, and detection of deepfake content in multimedia. It introduces the techniques and gives an overview of deepfake applications, types of deepfakes, the algorithms and applications used in deepfakes, recent challenges and problems, and practical applications to identify, generate, and detect deepfakes. Covering topics such as anomaly detection, intrusion detection, and security enhancement, this major reference work is a comprehensive resource for cyber security specialists, government officials, law enforcement, business leaders, students and faculty of higher education, librarians, researchers, and academicians.

Book Fraud Risk Assessment

Download or read book Fraud Risk Assessment written by Leonard W. Vona and published by John Wiley & Sons. This book was released on 2012-06-29 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a comprehensive framework for building an effective fraud prevention model, Fraud Risk Assessment: Building a Fraud Audit Program presents a readable overview for developing fraud audit procedures and building controls that successfully minimize fraud. An invaluable reference for auditors, fraud examiners, investigators, CFOs, controllers, corporate attorneys, and accountants, this book helps business leaders respond to the risk of asset misappropriation fraud and uncover fraud in core business systems.

Book Insider Threats in Cyber Security

Download or read book Insider Threats in Cyber Security written by Christian W. Probst and published by Springer Science & Business Media. This book was released on 2010-07-28 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Insider Threats in Cyber Security is a cutting edge text presenting IT and non-IT facets of insider threats together. This volume brings together a critical mass of well-established worldwide researchers, and provides a unique multidisciplinary overview. Monica van Huystee, Senior Policy Advisor at MCI, Ontario, Canada comments "The book will be a must read, so of course I’ll need a copy." Insider Threats in Cyber Security covers all aspects of insider threats, from motivation to mitigation. It includes how to monitor insider threats (and what to monitor for), how to mitigate insider threats, and related topics and case studies. Insider Threats in Cyber Security is intended for a professional audience composed of the military, government policy makers and banking; financing companies focusing on the Secure Cyberspace industry. This book is also suitable for advanced-level students and researchers in computer science as a secondary text or reference book.

Book Auditing Ecosystem and Strategic Accounting in the Digital Era

Download or read book Auditing Ecosystem and Strategic Accounting in the Digital Era written by Tamer Aksoy and published by Springer Nature. This book was released on 2021-06-14 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines current topics and trends in strategic auditing, accounting and finance in digital transformation both from a theoretical and practical perspective. It covers areas such as internal control, corporate governance, enterprise risk management, sustainability and competition. The contributors of this volume emphasize how strategic approaches in this area help companies in achieving targets. The contributions illustrate how by providing good governance, reliable financial reporting, and accountability, businesses can win a competitive advantage. It further discusses how new technological developments like artificial intelligence (AI), cybersystems, network technologies, financial mobility and smart applications, will shape the future of accounting and auditing for firms.​

Book Fraud and Fraud Detection

Download or read book Fraud and Fraud Detection written by Sunder Gee and published by John Wiley & Sons. This book was released on 2014-11-05 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers 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. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

Book Data Analysis Techniques for Fraud Detection

Download or read book Data Analysis Techniques for Fraud Detection written by Gerard Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2017-11-21 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: What potential environmental factors impact the Data analysis techniques for fraud detection effort? What key business process output measure(s) does Data analysis techniques for fraud detection leverage and how? Who sets the Data analysis techniques for fraud detection standards? Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Data analysis techniques for fraud detection? Among the Data analysis techniques for fraud detection product and service cost to be estimated, which is considered hardest to estimate? This easy Data analysis techniques for fraud detection self-assessment will make you the dependable Data analysis techniques for fraud detection domain specialist by revealing just what you need to know to be fluent and ready for any Data analysis techniques for fraud detection challenge. How do I reduce the effort in the Data analysis techniques for fraud detection work to be done to get problems solved? How can I ensure that plans of action include every Data analysis techniques for fraud detection task and that every Data analysis techniques for fraud detection outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data analysis techniques for fraud detection opportunity costs are low? How can I deliver tailored Data analysis techniques for fraud detection advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data analysis techniques for fraud detection essentials are covered, from every angle: the Data analysis techniques for fraud detection self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data analysis techniques for fraud detection outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data analysis techniques for fraud detection practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data analysis techniques for fraud detection are maximized with professional results. Your purchase includes access details to the Data analysis techniques for fraud detection self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Book Anti Fraud Risk and Control Workbook

Download or read book Anti Fraud Risk and Control Workbook written by Peter Goldmann and published by John Wiley & Sons. This book was released on 2009-07-20 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to measure your organization's fraud risks Detecting fraud before it's too late Little-known frauds that cause major losses Simple but powerful anti-fraud controls Proven guidance for fraud detection and prevention in a practical workbook format An excellent primer for developing and implementing an anti-fraud program, Anti-Fraud Risk and Control Workbook engages readers in an absorbing self- paced learning experience to develop familiarity with the practical aspects of fraud detection and prevention. Whether you are an internal or external auditor, accountant, senior financial executive, accounts payable professional, credit manager, or financial services manager, this invaluable resource provides you with timely discussion on: Why no organization is immune to fraud The human element of fraud Internal fraud at employee and management levels Conducting a successful fraud risk assessment Basic fraud detection tools and techniques Advanced fraud detection tools and techniques Written by a recognized expert in the field of fraud detection and prevention, this effective workbook is filled with interactive exercises, case studies, and chapter quizzes and shares industry-tested methods for detecting, preventing, and reporting fraud. Discover how to become more effective in protecting your organization against financial fraud with the essential techniques and tools in Anti-Fraud Risk and Control Workbook.

Book Data Analysis Techniques for Fraud Detection

Download or read book Data Analysis Techniques for Fraud Detection written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-01-13 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: What potential environmental factors impact the Data analysis techniques for fraud detection effort? What key business process output measure(s) does Data analysis techniques for fraud detection leverage and how? Who sets the Data analysis techniques for fraud detection standards? Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Data analysis techniques for fraud detection? Among the Data analysis techniques for fraud detection product and service cost to be estimated, which is considered hardest to estimate? This easy Data analysis techniques for fraud detection self-assessment will make you the dependable Data analysis techniques for fraud detection domain specialist by revealing just what you need to know to be fluent and ready for any Data analysis techniques for fraud detection challenge. How do I reduce the effort in the Data analysis techniques for fraud detection work to be done to get problems solved? How can I ensure that plans of action include every Data analysis techniques for fraud detection task and that every Data analysis techniques for fraud detection outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data analysis techniques for fraud detection opportunity costs are low? How can I deliver tailored Data analysis techniques for fraud detection advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data analysis techniques for fraud detection essentials are covered, from every angle: the Data analysis techniques for fraud detection self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data analysis techniques for fraud detection outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data analysis techniques for fraud detection practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data analysis techniques for fraud detection are maximized with professional results. Your purchase includes access details to the Data analysis techniques for fraud detection self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.