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Forensic Analytics: Methods and Techniques for Forensic Accounting Investigation

Description: Forensic Analytics by Mark J. Nigrini Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Revised edition of the authors Forensic analytics, c2011. Publisher Description 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 Benfords 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 Benfords Law, descriptive statistics, and the vector variation score to detect errors and anomaliesShows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the testsApplies the tests under review in each chapter to the same purchasing card data from a government entityIncludes 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 levelsIncludes 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. Author Biography MARK J. NIGRINI, PHD, is a professor at West Virginia University where he teaches highly-rated, graduate-level accounting technology and forensic accounting classes.He has published extensively in academic and professional journals on various topics related to forensic analytics. His current research addresses forensic and continuous monitoring techniques and advanced theoretical work on Benfords Law. Details ISBN 1119585767 ISBN-13 9781119585763 Title Forensic Analytics Author Mark J. Nigrini Format Hardcover Year 2020 Pages 544 Edition 2nd Publisher John Wiley & Sons Inc GE_Item_ID:119672395; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. 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Forensic Analytics: Methods and Techniques for Forensic Accounting Investigation

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781119585763

Book Title: Forensic Analytics

Number of Pages: 544 Pages

Publication Name: Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations

Language: English

Publisher: Wiley & Sons, Incorporated, John

Publication Year: 2020

Item Height: 1.4 in

Subject: Accounting / Financial, Finance / General, Criminal Law / General, Forensic Science, Accounting / Managerial, Auditing

Type: Textbook

Item Weight: 37.7 Oz

Subject Area: Law, Business & Economics

Item Length: 10.1 in

Author: Mark J. Nigrini

Item Width: 7.5 in

Series: Wiley Corporate F&A Ser.

Format: Hardcover

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