Fraud Detection In Supply Chain Using Benford Distribution
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Fraud Detection In Supply Chain Using Benford Distribution
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Author : Dr. T N. Varma
language : en
Publisher:
Release Date : 2018
Fraud Detection In Supply Chain Using Benford Distribution written by Dr. T N. Varma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Fraud occurred due to intentionally manipulated data in complex and dynamic supply chains cyberspace be a complicated task for detecting or auditing agencies. Although prevention from vulnerable manipulation is the best way to reduce frauds. The application of Excel sheet as decision supporting tools, leads to identify abnormally mismatch or hidden pattern of data and its depth analysis helps these agencies to scientifically examine the feasibility of implementing one 'trust-but-verify' method in supply chain network using a probability distribution called Benford's distribution within a short span of time to detect and prevent fraudulent transactions. This paper demonstrates, how to use Excel Sheet to perform Benford distribution statistical test as effective tool for locating red flags in suspected data from decision-making data-set of supply chain network.
Detecting And Reducing Supply Chain Fraud
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Author : Norman A. Katz
language : en
Publisher: Routledge
Release Date : 2016-04-22
Detecting And Reducing Supply Chain Fraud written by Norman A. Katz and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-22 with Law categories.
Norman Katz has secured a top spot as one of the Top 50 Global Thought Leaders and Influencers on Supply Chain 2020. For most large organizations, the supply chain is a commercial advantage, enabling innovation, cost management and resilience. But the supply chain is open to fraud: the length and complexity of it creates opportunities for fraudsters to exploit phantom inventory, invent non-existent customers or suppliers, substitute one product for another, cheat on the quality...this list goes on. These frauds present a significant source of additional cost to the organization and expose it to a host of secondary risks: contract, compliance and reputation. Detecting and Reducing Supply Chain Fraud is a pragmatic guide to identifying and managing sources of risk. Norman A. Katz explains the main categories of fraud risk: what they are, what is their significance and how they are exploited by the fraudster. He also explores both the tactical and strategic approaches that you should adopt to help detect and reduce fraud, including detection techniques and the use of technology. He provides tactics for increasing your organization's resilience: increased transparency, appropriate governance, and engaging employees, customers and suppliers in more ethical work practices. If you are responsible for your organization's supply chain, or perhaps involved in audit, compliance or risk management, start using Detecting and Reducing Supply Chain Fraud and look more closely at every aspect of your supply chain, both internal and external. The savings made in fraud reduction, the increased resilience you will give all of your operations and the improved reputation that your business will enjoy, as a contract partner or amongst stakeholders, will repay your investment a hundred-fold.
Fraud Analytics Using Descriptive Predictive And Social Network Techniques
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Author : Bart Baesens
language : en
Publisher: John Wiley & Sons
Release Date : 2015-08-17
Fraud Analytics Using Descriptive Predictive And Social Network Techniques written by Bart Baesens and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-17 with Computers categories.
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.
International Conference On Advanced Intelligent Systems For Sustainable Development
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Author : Janusz Kacprzyk
language : en
Publisher: Springer Nature
Release Date : 2023-06-11
International Conference On Advanced Intelligent Systems For Sustainable Development written by Janusz Kacprzyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-11 with Technology & Engineering categories.
This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
Counterfeiting And Fraud In Supply Chains
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Author : Sanda Soucie
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-09-16
Counterfeiting And Fraud In Supply Chains written by Sanda Soucie and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Business & Economics categories.
Counterfeiting and Fraud in Supply Chains explains the reasons behind the popularity of counterfeiting and fraud among both consumers and companies, a systematic and holistic overview and critical examination of the situations that have caused an increasing trend of those criminal activities.
Fraud And Fraud Detection Website
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Author : Sunder Gee
language : en
Publisher: John Wiley & Sons
Release Date : 2014-12-03
Fraud And Fraud Detection Website written by Sunder Gee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-03 with Business & Economics categories.
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.
Benford S Law And Digital Analysis
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Author : Lacey Ann White
language : en
Publisher:
Release Date : 2000
Benford S Law And Digital Analysis written by Lacey Ann White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Auditing categories.
Warranty Fraud Management
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Author : Matti Kurvinen
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-26
Warranty Fraud Management written by Matti Kurvinen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-26 with Computers categories.
Cut warranty costs by reducing fraud with transparent processes and balanced control Warranty Fraud Management provides a clear, practical framework for reducing fraudulent warranty claims and other excess costs in warranty and service operations. Packed with actionable guidelines and detailed information, this book lays out a system of efficient warranty management that can reduce costs without upsetting the customer relationship. You'll dig into the whole spectrum of warranty fraud, from simple sloppy procedures to systematic organized crime, and get to know the fraudulent parties, the victims, as well as the objectives and methods of the fraudulent activities in different scenarios. You'll learn how to implement controls to detect and reduce fraudulent claims and decrease the overall warranty costs. The impact of fraudulent claims is plainly spelled out alongside detailed descriptions of typical symptoms and process gaps present in diverse companies. A comprehensive, multi-modal framework for robust warranty management is presented as a template for revamping your own company's strategy. Fraudulent warranty claims occupy an estimated 3-15 percent of the average company's warranty costs, which generally average between 1-4 percent of sales. Many companies are unaware of the issue or struggle to take action against the claims for fear of upsetting business partners, or because they lack tangible evidence. This book details a robust warranty control framework that institutes transparency and control over the whole warranty chain—supporting the process far beyond just fraud reduction. Understand the different actors (customers, sales channels, service agents, warranty providers, etc.) and different forms of warranty fraud Uncover issues in your company's warranty processes Learn methods to detect and prevent fraudulent activities Implement a robust system of warranty cost control Warranty fraud is a major cost-control issue for most companies, but the sensitive nature of the topic leaves most reluctant to share their experiences and divulge their strategies. Warranty Fraud Management brings warranty fraud out into the open, and provides a clear, actionable framework for cost-savings through fraud reduction.
Machine Learning And Corporate Fraud Detection
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Author : Stephen Walker
language : en
Publisher:
Release Date : 2021
Machine Learning And Corporate Fraud Detection written by Stephen Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
The purpose of this dissertation was to study why corporate fraud detection models are often met with skepticism by industry practitioners despite a vast literature supporting their use. This dissertation examined the parsimonious standards in the academic literature for corporate fraud detection and included the latest studies that introduced ideas from Benford's Law and machine learning algorithms. The study of corporate fraud detection models is important because academic literature is relied upon by industry practitioners and government regulators including the Securities and Exchange Commission. This paper starts with a critique that was recently published in Econ Journal Watch. This critique examined the results of a paper recently published in the Journal of Accounting Research applying machine learning to the detection of accounting fraud. Afterwards, I applied the most popular ensemble boosting algorithm in machine learning known as XGBoost to a comprehensive sample of financial ratios and variables. In addition to this model, I ran a horserace with the other models from the extant literature. Results showed that the F-Score (Dechow, et al. 2011) stood up quite well against the machine learning models. Interestingly, a univariate screen on sales growth performed about as well as more complicated methodologies at the top of the probability distribution. Finally, I provided a discussion based on a Bayesian analysis that illustrated why practitioners find fraud detection difficult.
Using Benford S Law As A Modern Method For The Detection Of Financial Fraud
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Author : Joshua R. Rogers
language : en
Publisher:
Release Date : 2005
Using Benford S Law As A Modern Method For The Detection Of Financial Fraud written by Joshua R. Rogers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
