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| fraud detection case study: Corporate Fraud John D. O'Gara, 2004-05-10 Real-world help for companies combating fraud – from major management fraud to fraudulent financial reporting From the author’s more than thirty years of corporate auditing experience, Corporate Fraud features scores of useful case studies that illustrate the principles of numerous types of fraud and how to avoid them in your business. A must-have for all auditors, controllers, CFOs, and business managers, Corporate Fraud offers broad coverage of: The most common and damaging types of fraud in today’s business environment The many facets of fraud, including management fraud, corporate governance, and top-level forensics issues, as well as financial statement fraud and the interconnected nature of each Corruption: bribery, including contracting, subcontracting, and leasing; and outsourcing Misappropriation: vendor billings, skimming, and diverted receipts Fraud for the organization: money laundering, price fixing, and fraud in the international arena Order your copy today! |
| fraud detection case study: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke, 2015-08-17 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. |
| fraud detection case study: Fraud and Fraud Detection, + Website Sunder Gee, 2014-12-03 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. |
| fraud detection case study: Challenges and Opportunities of Corporate Governance Transformation in the Digital Era Kuznetsov, Mikhail Yevgenievich, Nikishova, Maria Igorevna, 2019-12-27 While corporate governance has been a successful concept throughout the centuries, it is in question whether this concept can remain sustainable in the digital era and during a time of technological and managerial disruption. Under the pressure of new economic, social, and ecologic challenges, it is vital to understand how this concept needs to transform. Challenges and Opportunities of Corporate Governance Transformation in the Digital Era is an essential reference source that discusses concepts, trends, and forecasts of corporate governance and examines its transformation under the pressure of new technologies and economic changes. Featuring research on topics such as corporate identity, e-commerce, and cost management, this book is ideally designed for corporate leaders, managers, executives, business professionals, consultants, professors, researchers, and students. |
| fraud detection case study: Fraud Analytics Delena D. Spann, 2014-07-22 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. |
| fraud detection case study: Fraud Analysis Techniques Using ACL David Coderre, 2009-07-23 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. |
| fraud detection case study: Solving Modern Crime in Financial Markets Marius-Cristian Frunza, 2015-12-09 This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets. - Interviews and case studies provide context and depth to examples - Case studies use R, the powerful statistical freeware tool - Useful in classroom and professional contexts |
| fraud detection case study: Encyclopedia of Organizational Knowledge, Administration, and Technology Khosrow-Pour D.B.A., Mehdi, 2020-09-29 For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication. |
| fraud detection case study: Convenience Triangle in White-Collar Crime Petter Gottschalk, 2019 The ‘convenience triangle’ is the dynamic relationship between motive, opportunity, and willingness to commit a crime, which culminates in the illegal acts which constitute white-collar crime. This book aims to discuss the role of the ‘convenience triangle’ in white-collar crime, how it affects the perpetration of these crimes, the impact of this on detection and prevention and the effects of the punitive measures taken against white-collar criminals. |
| fraud detection case study: Recent Advances in Big Data and Deep Learning Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita, 2019-04-02 This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference. |
| fraud detection case study: Applied Analytics through Case Studies Using SAS and R Deepti Gupta, 2018-08-03 Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling. |
| fraud detection case study: Using Analytics to Detect Possible Fraud Pamela S. Mantone, 2013-07-16 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 detection case study: Fraud Analytics with SAS , 2019-06-21 SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. Also available free as a PDF from: sas.com/books. |
| fraud detection case study: Corporate Fraud Exposed H. Kent Baker, Lynnette Purda, Samir Saadi, 2020-10-09 Corporate Fraud Exposed uncovers the motivations and drivers of fraud including agency theory, executive compensation, and organizational culture. It delves into the consequences of fraud for various firm stakeholders, and its spillover effects on other corporations, the political environment, and financial market participants. |
| fraud detection case study: Fraud Investigation Petter Gottschalk, 2018 Tipping point decision-making -- 8 Crime investigations in the United States -- Enron Corporation -- Philadelphia Police Department -- Chief Technology Office -- Tax and Revenue Office -- WorldCom Corporation -- 9 Misconduct investigations in the United States -- Lehman Brothers -- University of Texas -- General Motors -- Coatesville Area School District -- Motorola Sales -- Save the Children -- Peregrine Financial Group -- Sandstorm banking -- Conclusion -- Bibliography -- Index |
| fraud detection case study: Fraud 101 Howard Silverstone, Howard R. Davia, 2005-04-15 Unique insights into the nature of fraud and how to expose it It's not enough to wait for a tip to expose corporate fraud. Fraud 101, Second Edition provides step-by-step guidance on how to perform detection procedures for every major type of fraud. Its new and detailed case studies reveal how easy it can be for a perpetrator to commit a fraud and how difficult it can be to prosecute. This new edition also offers expanded coverage of financial statement fraud, fraud-specific internal control, and Sarbanes-Oxley. |
| fraud detection case study: Unmasking Financial Deception Azhar ul Haque Sario, 2024-10-30 Unmasking Financial Deception: A Guide to Forensic Accounting is your ultimate companion in the intricate world of forensic accounting. This book equips you with the knowledge and tools needed to detect, investigate, and prevent financial fraud. It covers a wide range of topics, starting with asset misappropriation, cash skimming, and inventory shrinkage. You'll learn about the importance of safeguarding digital information, understanding and preventing occupational fraud, and recognizing financial statement fraud. The book also delves into corruption and bribery, tax fraud, cybercrime, money laundering, and whistleblower protection, providing insights into the various forms of financial deception and how to combat them effectively. In addition to these topics, the book explores forensic data analytics, expert witness testimony, insurance fraud, bankruptcy and insolvency, and white-collar crime. You'll gain insights into emerging technologies in fraud detection, such as artificial intelligence, blockchain, and data visualization. The book also emphasizes the importance of international forensic accounting, cultural competency, and global collaboration. Real-world case studies, including Enron, WorldCom, and Bernie Madoff, provide valuable lessons and insights. With practical advice, real-world examples, and expert insights, Unmasking Financial Deception: A Guide to Forensic Accounting empowers you to protect your organization and uphold financial integrity. |
| fraud detection case study: Corporate Fraud Handbook Joseph T. Wells, 2017-05-01 Delve into the mind of a fraudster to beat them at their own game Corporate Fraud Handbook details the many forms of fraud to help you identify red flags and prevent fraud before it occurs. Written by the founder and chairman of the Association of Certified Fraud Examiners (ACFE), this book provides indispensable guidance for auditors, examiners, managers, and criminal investigators: from asset misappropriation, to corruption, to financial statement fraud, the most common schemes are dissected to show you where to look and what to look for. This new fifth edition includes the all-new statistics from the ACFE 2016 Report to the Nations on Occupational Fraud and Abuse, providing a current look at the impact of and trends in fraud. Real-world case studies submitted to the ACFE by actual fraud examiners show how different scenarios play out in practice, to help you build an effective anti-fraud program within your own organization. This systematic examination into the mind of a fraudster is backed by practical guidance for before, during, and after fraud has been committed; you'll learn how to stop various schemes in their tracks, where to find evidence, and how to quantify financial losses after the fact. Fraud continues to be a serious problem for businesses and government agencies, and can manifest in myriad ways. This book walks you through detection, prevention, and aftermath to help you shore up your defenses and effectively manage fraud risk. Understand the most common fraud schemes and identify red flags Learn from illustrative case studies submitted by anti-fraud professionals Ensure compliance with Sarbanes-Oxley and other regulations Develop and implement effective anti-fraud measures at multiple levels Fraud can be committed by anyone at any level—employees, managers, owners, and executives—and no organization is immune. Anti-fraud regulations are continually evolving, but the magnitude of fraud's impact has yet to be fully realized. Corporate Fraud Handbook provides exceptional coverage of schemes and effective defense to help you keep your organization secure. |
| fraud detection case study: Emerging Fraud Kiymet Tunca Caliyurt, Samuel O. Idowu, 2012-03-31 Fraud has become a challenging phenomena affecting economies worldwide. Anti-fraud measures are an integral part of today’s management practices and have found their way into business education. Yet in developing countries these topics have long been neglected and only limited research has been conducted in this area. This book fills an essential gap by analyzing the impact of fraud on developing economies, describing successful anti-fraud methods and featuring cases that exemplify the measures described. The book features contributions by outstanding experts in the field and is intended for academic readers with a special interest in fraud research. |
| fraud detection case study: Financial Statement Fraud Gerard M. Zack, 2012-11-28 Valuable guidance for staying one step ahead of financial statement fraud Financial statement fraud is one of the most costly types of fraud and can have a direct financial impact on businesses and individuals, as well as harm investor confidence in the markets. While publications exist on financial statement fraud and roles and responsibilities within companies, there is a need for a practical guide on the different schemes that are used and detection guidance for these schemes. Financial Statement Fraud: Strategies for Detection and Investigation fills that need. Describes every major and emerging type of financial statement fraud, using real-life cases to illustrate the schemes Explains the underlying accounting principles, citing both U.S. GAAP and IFRS that are violated when fraud is perpetrated Provides numerous ratios, red flags, and other techniques useful in detecting financial statement fraud schemes Accompanying website provides full-text copies of documents filed in connection with the cases that are cited as examples in the book, allowing the reader to explore details of each case further Straightforward and insightful, Financial Statement Fraud provides comprehensive coverage on the different ways financial statement fraud is perpetrated, including those that capitalize on the most recent accounting standards developments, such as fair value issues. |
| fraud detection case study: Faces of Fraud Martin T. Biegelman, 2013-02-07 The ultimate tool for understanding, investigating and preventing fraud Fraud is an evil with a life of its own that leaves a financial, repetitional, and emotional toll on its victims. While monumental scandals, such as Enron, WorldCom, and Madoff's Ponzi scheme make the front pages, fraud is a daily occurrence impacting companies and individuals alike. Faces of Fraud reveals must-know characteristics of fraudsters and the skills needed to outwit them. Recognized Fraud Fighting Expert Martin Biegelman draws from his 40 years of experience fighting fraud to profile not only the key traits fraudsters share, but also the qualities fraud examiners must possess to be successful. Each chapter contains stories from actual cases that the author investigated Profiles the must-know characteristics of fraudsters and the skills you'll need to outwit them Reveals the traits of accomplished fraud examiners Explores the best practices in fraud detection, investigation and prevention to cultivate in order to maximize success Written by fraud fighting expert Martin T. Biegelman Although fraud will never be completely eradicated, there is much that can be done to reduce the number and size of frauds that take place in any organization. Boiling down the key lessons the author has culled from his long career, Faces of Fraud entertains and informs with stories from real cases the author investigated over his long career, and imparts useful tips you can start using right away in the fraud examination field. |
| fraud detection case study: Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS Richard C. Zink, 2014-07-01 Improve efficiency while reducing costs in clinical trials with centralized monitoring techniques using JMP and SAS. International guidelines recommend that clinical trial data should be actively reviewed or monitored; the well-being of trial participants and the validity and integrity of the final analysis results are at stake. Traditional interpretation of this guidance for pharmaceutical trials has led to extensive on-site monitoring, including 100% source data verification. On-site review is time consuming, expensive (estimated at up to a third of the cost of a clinical trial), prone to error, and limited in its ability to provide insight for data trends across time, patients, and clinical sites. In contrast, risk-based monitoring (RBM) makes use of central computerized review of clinical trial data and site metrics to determine if and when clinical sites should receive more extensive quality review or intervention. Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS presents a practical implementation of methodologies within JMP Clinical for the centralized monitoring of clinical trials. Focused on intermediate users, this book describes analyses for RBM that incorporate and extend the recommendations of TransCelerate Biopharm Inc., methods to detect potential patient-or investigator misconduct, snapshot comparisons to more easily identify new or modified data, and other novel visual and analytical techniques to enhance safety and quality reviews. Further discussion highlights recent regulatory guidance documents on risk-based approaches, addresses the requirements for CDISC data, and describes methods to supplement analyses with data captured external to the study database. Given the interactive, dynamic, and graphical nature of JMP Clinical, any individual from the clinical trial team - including clinicians, statisticians, data managers, programmers, regulatory associates, and monitors - can make use of this book and the numerous examples contained within to streamline, accelerate, and enrich their reviews of clinical trial data. The analytical methods described in Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS enable the clinical trial team to take a proactive approach to data quality and safety to streamline clinical development activities and address shortcomings while the study is ongoing. This book is part of the SAS Press |
| fraud detection case study: Investigative Data Mining for Security and Criminal Detection Jesus Mena, 2003 Publisher Description |
| fraud detection case study: Network Science Albert-László Barabási, Márton PÃ3sfai, 2016-07-21 Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science. |
| fraud detection case study: Contemporary Issues in Audit Management and Forensic Accounting Simon Grima, Engin Boztepe, Peter J. Baldacchino, 2020-02-10 In the 18 chapters in this volume of Contemporary Studies in Economic and Financial Analysis, expert contributors gather together to examine the extent and characteristics of forensic accounting, a field which has been practiced for many years, but is still not internationally regulated yet. |
| fraud detection case study: Predictive Analytics Eric Siegel, 2013-02-07 “Mesmerizing & fascinating...” —The Seattle Post-Intelligencer The Freakonomics of big data. —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated — and Hillary for America 2016 plans to calculate — the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics. |
| fraud detection case study: Congressional Record United States. Congress, 1968 |
| fraud detection case study: Process Mining in Action Lars Reinkemeyer, 2020-03-14 This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment. The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives. Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments. |
| fraud detection case study: Managing Fraud Risk Steve Giles, 2012-11-12 A strategic, practical, cost-effective approach to fraud prevention In troubled economic times, the risk of fraud and financial crime increases. In our post credit crunch environment, new laws and tougher penalties for financial crime mean that if you are in business, you have a responsibility to help fight fraud. However, to design effective, proportionate fraud controls for your business, you need a complete picture of all the risks. Managing Fraud Risk shows you where to look for fraud, setting out a route-map for finding and fighting fraud risks in your business, with the practical, strategic advice you need. Combining the latest theory with forensic risk analysis, this book reveals how you can provide assurance to your Board and stakeholders. Practical examples are used to clearly show cost-effective techniques for preventing and detecting business fraud. An innovative fraud awareness quiz enables you to easily apply the theories and principles. Answers questions such as: Who commits more fraud: men or women? How many of your employees are prepared to falsify documents? Essential information to ensure your procedures are sufficient to meet compliance with new international legislation increasing the liability of directors and managers in cases of fraud and corruption Takes a new perspective from the point of view of business risk, making it unique to other texts that take only an auditing, investigative, or specialist approach This route-map is essential reading to help you navigate the complex landscape of business fraud. |
| fraud detection case study: ICAS-PGS 2019 William Yeoh, M. Tanzil Multazam , Andri Kesmawan , Krisna Puji Rahmayanti , 2020-08-12 Following the successful of previous conference, 3rd International Conference on Administrative Science, Policy, and Governance Studies (ICAS-PGS) in strategic alliance with 4th International Conference of Business Administration and Policy (ICBAP) 2019 will be held on October 30-31, 2019 in Universitas Indonesia, Depok, West Java, Indonesia. This year’s conference theme is “Strengthening Strategic Administrative Reform Policy to Promote Competitiveness and Innovation in Industrial Revolution 4.0: The Opportunities and Challenges.” This conference is hosted by Faculty of Administrative Science Universitas Indonesia (FIA UI). The conference covers debates over problematic situation, theoretical frameworks, as well as prescribed policies the way that governments, businesses, and civil societies essentially need to outline strategies to realize reform commitment and achieve change efficacy for purposes of harnessing innovation while considering the opportunities and challenges as well as maintaining sustainability, engaging in a more dynamic predicament such as regulatory frameworks that affect relations of multiple governance actors in today’s dynamic towards Industrial Revolution 4.0. The main objective of this conference is to discuss and debate the recent trends in administrative science on a range of issues such as public, business, and fiscal and the interconnectedness of all in Industrial Revolution 4.0. This conference is aimed to bring researchers, academicians, scientists, policymakers, professional managers, students, and other related stakeholders; together to participate and present their latest research findings, developments, and practical solutions related to the various aspects of administrative challenges in public and private sector. The general theme of 3rd ICAS-PGS and 4th ICBAP 2019 is “Strengthening Strategic Administrative Reform Policy to Promote Competitiveness and Innovation in Industrial Revolution 4.0: The Opportunities and Challenges.” The conferences consist of three streams representing differences of focus and scopes of research interests within the discipline of public, business, and fiscal administration and policy. We convey our gratitude to our esteemed Committee, Speakers and Participants, for giving their best to the success of the conference |
| fraud detection case study: Fundamentals of Machine Learning for Predictive Data Analytics, second edition John D. Kelleher, Brian Mac Namee, Aoife D'Arcy, 2020-10-20 The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning. |
| fraud detection case study: Microsoft Certified: AI-900: Microsoft Azure AI Fundamentals Cybellium, 2024-09-01 Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| fraud detection case study: Towards Ethical and Socially Responsible Explainable AI Mohammad Amir Khusru Akhtar, |
| fraud detection case study: AWS Certified AI & Machine Learning Specialist Cybellium, Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| fraud detection case study: Electronic Government and the Information Systems Perspective Andrea Kő, Enrico Francesconi, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, 2019-08-19 This book constitutes the refereed proceedings of the 8th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2019, held in Linz, Austria, in August 2019. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: open data and open innovation; data-driven approaches in e-government; e-government cases – data and knowledge management; e-government theoretical background; and digitalization and transparency. |
| fraud detection case study: Handbook of Research on the Significance of Forensic Accounting Techniques in Corporate Governance Kamwani, Suleman Sherali, Vieira, Elisabete S., Madaleno, Mara, Azevedo, Graça, 2022-02-25 The financial community has undergone a realization of the failure of corporate communication required for forensic professionals to expose structural weaknesses within businesses. Many organizations and businesses within the financial community have flawed internal controls, poor corporate governance, and fraudulent financial statements. It is vital to develop forensic accounting techniques to reduce external auditor deficiencies in fraud detection and their implications and enhance corporate efficiency in fraud detection. The Handbook of Research on the Significance of Forensic Accounting Techniques in Corporate Governance discusses forensic accounting techniques and how forensic accountants add value while investigating claims and fraud. It further highlights the benefits of forensic accounting audits for corporate benefits and evidence acceptability. Covering topics such as credit card fraud, blockchain technology, and developing countries, this book is an excellent resource for accounting professionals, external auditors, students and faculty of higher education, auditors, researchers, and academicians. |
| fraud detection case study: Microsoft Dynamics 365 AI for Business Insights Dmitry Shargorodsky, 2024-03-29 Streamline your business operations by leveraging AI across key functions using practical examples and insightful case studies Key Features Uncover the practical applications of Dynamics 365 AI across sales, customer service, marketing, and finance Explore Dynamics 365’s integration with advanced AI tools such as OpenAI, Azure Open AI, and MS Copilot Learn from real-world examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf there is one hot topic being discussed in every boardroom meeting today, it’s AI. With Microsoft Dynamics 365 AI proving to be a game-changer, it’s essential for business professionals to master this tool. Microsoft Dynamics 365 AI for Business Insights will help you harness AI across key business functions to streamline processes and enhance customer experiences. Written by a seasoned professional with 15+ years of experience, this book guides you through Dynamics 365 AI’s practical applications across sales, customer service, marketing, and finance departments. You'll learn how to enhance customer experiences, streamline sales processes, optimize marketing strategies, and improve financial forecasting. This book also explores the integration of generative AI tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot within the Dynamics 365 ecosystem. With real-world examples, case studies, and expert insights, you’ll discover the transformative potential of this powerful toolkit. As well as driving sales insights and implementing fraud protection, you’ll explore emerging AI trends, Microsoft's roadmap for Dynamics 365 AI, and the upcoming features. By the end, you’ll be all set to unlock new growth opportunities using Dynamics 365 AI. What you will learn Overcome common challenges in Dynamics 365 AI implementation with ease Delve into the practical applications of advanced generative AI tools Integrate cutting-edge tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot with Dynamics 365 AI Derive insights from real-world examples of successful AI implementation Discover best practices and strategies for leveraging AI to find useful business insights and enhance operations Explore Microsoft's roadmap for Dynamics 365 AI and the forthcoming trends in AI for business Who this book is for This book is for Dynamics 365 consultants, architects, and IT managers, willing to implement AI in their organizations. Business consultants advising on business technology, especially those focused on Microsoft Dynamics 365, will find it useful for enhancing their skills. A basic understanding of Microsoft Dynamics 365 and its suite of business applications will be beneficial as the book’s focus is on implementing the tool’s AI modules. Familiarity with the principles of artificial intelligence and how it is applied in a business context will also be helpful. |
| fraud detection case study: Progress in Advanced Computing and Intelligent Engineering Chhabi Rani Panigrahi, Bibudhendu Pati, Binod Kumar Pattanayak, Seeven Amic, Kuan-Ching Li, 2021-04-15 This book focuses on theory, practice and applications in the broad areas of advanced computing techniques and intelligent engineering. This book includes 74 scholarly articles which were accepted for presentation from 294 submissions in the 5th ICACIE during 25–27 June 2020 at Université des Mascareignes (UdM), Mauritius, in collaboration with Rama Devi Women’s University, Bhubaneswar, India, and S‘O’A Deemed to be University, Bhubaneswar, India. This book brings together academicians, industry persons, research scholars and students to share and disseminate their knowledge and scientific research work related to advanced computing and intelligent engineering. It helps to provide a platform to the young researchers to find the practical challenges encountered in these areas of research and the solutions adopted. The book helps to disseminate the knowledge about some innovative and active research directions in the field of advanced computing techniques and intelligent engineering, along with some current issues and applications of related topics. |
| fraud detection case study: Trillion Dollar Data Hives: Unleashing the Power of Data for Business Successes Raj Varma, 2023-10-13 Unlocking the Secrets of Trillion Dollar Data Hives Data has become the lifeblood of modern businesses. But what does it really take to build an unstoppable data hive? In this insightful book, readers will go behind the scenes of the world's largest data-driven enterprises like Google, Amazon, and Facebook. They will discover how these companies transformed from startups into trillion-dollar giants by mastering the art of data collection and analytics. Through real-world case studies and interviews with industry leaders, learn: How to evolve your organization into a bustling data ecosystem' that collaborates to gain valuable insights. • Effective strategies for collecting and storing vast amounts of customer and operational data securely at scale. • Powerful techniques for applying artificial intelligence to amplify human intelligence and supercharge decision-making. • Practical ways to harness data-driven insights across departments to revolutionize products, marketing, and overall business strategy. For any executive seeking to understand the dato-first principles that separate industry disruptors, this book delivers unprecedented access into the trillion-dollar data hives shaping the future of business. Its lessons will help you unlock new frontiers of growth in the digital age. |
| fraud detection case study: Reuse in Intelligent Systems Stuart H Rubin, Lydia Bouzar-Benlabiod, 2020-03-24 The book is based on the best papers of IEEE IRI 2018 and IEEE FMI 2018, Salt Lake City, July, 2018. They have been enhanced and modified suitably for publication. The book comprises recent works covering several aspects of reuse in intelligent systems – including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought to be able to manage, integrate, and utilize large amounts of data despite hardware, software, and/or bandwidth constraints; to construct models yielding important data insights, and to create visualizations to aid in presenting and understanding the data. Furthermore, it addresses the representation, cleansing, generalization, validation, and reasoning strategies for the scientifically-sound and cost-effective advancement of all kinds of intelligent systems – including all software and hardware aspects. The book addresses problems such as, how to optimally select the information/data sets for reuse and how to optimize the integration of existing information/knowledge with new, developing information/knowledge sources! |
Fraud: Definition, Types, and Consequences of Fraudulent Behavior
Apr 30, 2025 · Fraud is an intentional act of deceit designed to reward the perpetrator or to deny the rights of a victim. Some of the most common types of fraud involve the insurance industry, …
Fraud - Wikipedia
In law, fraud is intentional deception to deprive a victim of a legal right or to gain from a victim unlawfully or unfairly.
FRAUD Definition & Meaning - Merriam-Webster
The meaning of FRAUD is deceit, trickery; specifically : intentional perversion of truth in order to induce another to part with something of value or to surrender a legal right.
Fraud 101: What Is Fraud? - Association of Certified Fraud …
“Fraud” is any activity that relies on deception in order to achieve a gain. Fraud becomes a crime when it is a “knowing misrepresentation of the truth or concealment of a material fact to induce …
Fraud - Definition, Meaning, Types, and Examples - Legal Dictionary
Dec 1, 2014 · Fraud takes place when a person deliberately practices deception in order to gain something unlawfully or unfairly. In most states, the act of fraud can be classified as either a …
fraud | Wex | US Law | LII / Legal Information Institute
Fraud is both a civil tort and criminal wrong. In civil litigation , allegations of fraud might be based on a misrepresentation of fact that was either intentional or negligent .
Fraud - Office for Victims of Crime
Discover publications, resources, and other information about victims of fraud.
Fraud - FindLaw
Nov 23, 2023 · Fraud can take many forms. One commits fraud through false statements, misrepresentation, or dishonest conduct intended to mislead or deceive. This article looks at …
What Is Fraud? Types And Definitions - Financial Crime Academy
Jun 10, 2025 · Fraud is defined as an intentionally deceptive action intended to provide the perpetrator with an unlawful gain or to deny a victim’s right. Tax fraud, credit card fraud, wire …
Fraud | Types of Fraud Crimes & Their Penalties
3 days ago · The broad legal definition of fraud is the intentional deception of another for personal gain. A person who defrauds another deprives the victim of his or her money or property for …
Fraud: Definition, Types, and Consequences of Fraudulent Behavior
Apr 30, 2025 · Fraud is an intentional act of deceit designed to reward the perpetrator or to deny the rights of a victim. Some of the most common types of fraud involve the insurance industry, …
Fraud - Wikipedia
In law, fraud is intentional deception to deprive a victim of a legal right or to gain from a victim unlawfully or unfairly.
FRAUD Definition & Meaning - Merriam-Webster
The meaning of FRAUD is deceit, trickery; specifically : intentional perversion of truth in order to induce another to part with something of value or to surrender a legal right.
Fraud 101: What Is Fraud? - Association of Certified Fraud …
“Fraud” is any activity that relies on deception in order to achieve a gain. Fraud becomes a crime when it is a “knowing misrepresentation of the truth or concealment of a material fact to induce …
Fraud - Definition, Meaning, Types, and Examples - Legal Dictionary
Dec 1, 2014 · Fraud takes place when a person deliberately practices deception in order to gain something unlawfully or unfairly. In most states, the act of fraud can be classified as either a …
fraud | Wex | US Law | LII / Legal Information Institute
Fraud is both a civil tort and criminal wrong. In civil litigation , allegations of fraud might be based on a misrepresentation of fact that was either intentional or negligent .
Fraud - Office for Victims of Crime
Discover publications, resources, and other information about victims of fraud.
Fraud - FindLaw
Nov 23, 2023 · Fraud can take many forms. One commits fraud through false statements, misrepresentation, or dishonest conduct intended to mislead or deceive. This article looks at …
What Is Fraud? Types And Definitions - Financial Crime Academy
Jun 10, 2025 · Fraud is defined as an intentionally deceptive action intended to provide the perpetrator with an unlawful gain or to deny a victim’s right. Tax fraud, credit card fraud, wire …
Fraud | Types of Fraud Crimes & Their Penalties
3 days ago · The broad legal definition of fraud is the intentional deception of another for personal gain. A person who defrauds another deprives the victim of his or her money or property for …
