Электронная книга: Mark Nigrini «Forensic Analytics. Methods and Techniques for Forensic Accounting Investigations»
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.
Издательство: "John Wiley&Sons Limited (USD)"
ISBN: 9781118087688 электронная книга Купить за 6503.95 руб и скачать на Litres
Купить за 6503.95 руб и скачать на Litres
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|Benford's Law. Applications for Forensic Accounting, Auditing, and Fraud Detection||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… — John Wiley&Sons Limited (USD), электронная книга Подробнее...||5203.16||электронная книга|
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Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year Fraud involves one or more… … Wikipedia