Forensic Analytics

Forensic Analytics PDF
Author: Mark J. Nigrini
Publisher: John Wiley & Sons
ISBN: 1119585767
Size: 44.79 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 544
View: 5086

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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.

Analytical Techniques In Forensic Science

Analytical Techniques in Forensic Science PDF
Author: Rosalind Wolstenholme
Publisher: John Wiley & Sons
ISBN: 1119978289
Size: 24.40 MB
Format: PDF, Kindle
Category : Medical
Languages : en
Pages : 464
View: 1863

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An in-depth text that explores the interface between analytical chemistry and trace evidence Analytical Techniques in Forensic Science is a comprehensive guide written in accessible terms that examines the interface between analytical chemistry and trace evidence in forensic science. With contributions from noted experts on the topic, the text features a detailed introduction analysis in forensic science and then subsequent chapters explore the laboratory techniques grouped by shared operating principles. For each technique, the authors incorporate specific theory, application to forensic analytics, interpretation, forensic specific developments, and illustrative case studies. Forensic techniques covered include UV-Vis and vibrational spectroscopy, mass spectrometry and gas and liquid chromatography. The applications reviewed include evidence types such as fibers, paint, drugs and explosives. The authors highlight data collection, subsequent analysis, what information has been obtained and what this means in the context of a case. The text shows how analytical chemistry and trace evidence can problem solve the nature of much of forensic analysis. This important text: Puts the focus on trace evidence and analytical science Contains case studies that illustrate theory in practice Includes contributions from experts on the topics of instrumentation, theory, and case examples Explores novel and future applications for analytical techniques Written for undergraduate and graduate students in forensic chemistry and forensic practitioners and researchers, Analytical Techniques in Forensic Science offers a text that bridges the gap between introductory textbooks and professional level literature.

Forensic Analytics Of Financial Report In Philippines Property Sector The Benford S Law Application

Forensic Analytics of Financial Report in Philippines Property Sector  the Benford s Law Application PDF
Author: Vicente Salvador Montano
ISBN: 9783668543904
Size: 58.49 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages : 20
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Research Paper (undergraduate) from the year 2017 in the subject Economics - Finance, grade: 95.00, University of Mindanao (Professional Schools), course: Finance, Real Estate, Management, language: English, abstract: This paper examines the property sector financial misreporting using the Benford's Law, a logarithmic distribution technique. The study examines the financial and income statement of the 35 property companies listed in the Philippine Stock Exchange (PSE) for 2015 and 2016. Using the Chi-square test and Mean Absolute Deviation (MAD) the results show that the income statement before tax stockholder's equity and stockholder's equity-parent data set did not conform to the Benford's Distribution. The study suggests that there is a probable misreporting of income before tax and stockholder's equity in the property sector. Misreported financial statements, whether intentional or unintentional, is difficult to detect and eventually results in wrong financial decision. Erroneous financial statement deceives investors and regulators leading into wrong capital allocation and misleading policy. Consequently, the effects are often irreversible, affecting the firm's investors and employees. As early as 2003 the SEC launched a surveillance system called, "Advanced Warning and Control System," to detect fraud, manipulation, and other illegal practices. The system was placed on stock market transactions. In the last several years, the Security Exchange Commission (SEC) is vigilant in strictly detecting insider trading, but might be missing on detecting accounting fraud. Due to a strong Philippine economy, the real estate industry is expected to project a sustained growth for 2017. The government's ability to maintain strong macroeconomic fundamentals is the reason for the sustained economic growth in the country. Real Estate Investors are advised to take advantage of the opportunity to effectively market and sell projects. However, accompanying the sustained growth

Big Data Analytics And Computing For Digital Forensic Investigations

Big Data Analytics and Computing for Digital Forensic Investigations PDF
Author: Suneeta Satpathy
Publisher: CRC Press
ISBN: 1000045056
Size: 39.93 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 214
View: 326

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Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain–computer interface, cognition and computational intelligence.

Applied Spectroscopy

Applied Spectroscopy PDF
Size: 42.25 MB
Format: PDF, Docs
Category : Spectrum analysis
Languages : en
Pages :
View: 2067

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Benford S Law

Benford s Law PDF
Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 1118152859
Size: 44.62 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 330
View: 7725

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