Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /

"The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the dete...

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Main Author: Nigrini, Mark J., (Mark John), author 521262
Format: text
Language:eng
Published: Hoboken, NJ. : Wiley, 2011
Subjects:
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author Nigrini, Mark J., (Mark John), author 521262
author_facet Nigrini, Mark J., (Mark John), author 521262
author_sort Nigrini, Mark J., (Mark John), author 521262
collection OCEAN
description "The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"--
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spelling KOHA-OAI-TEST:4645882021-06-27T06:58:24ZForensic Analytics : Methods and Techniques for Forensic Accounting Investigations / Nigrini, Mark J., (Mark John), author 521262 textHoboken, NJ. : Wiley,2011©2011eng"The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"--Includes bibliographical references and index.Front Matter -- Using Access in Forensic Investigations -- Using Excel in Forensic Investigations -- Using PowerPoint in Forensic Presentations -- High₆Level Data Overview Tests -- Benford's Law: The Basics -- Benford's Law: Assessing Conformity -- Benford's Law: The Second₆Order and Summation Tests -- Benford's Law: The Number Duplication and Last₆Two Digits Tests -- Testing the Internal Diagnostics of Current Period and Prior Period Data -- Identifying Fraud Using the Largest Subsets and Largest Growth Tests -- Identifying Anomalies Using the Relative Size Factor Test -- Identifying Fraud Using Abnormal Duplications within Subsets -- Identifying Fraud Using Correlation -- Identifying Fraud Using Time₆Series Analysis -- Fraud Risk Assessments of Forensic Units -- Examples of Risk Scoring with Access Queries -- The Detection of Financial Statement Fraud -- Using Analytics on Purchasing Card Transactions -- References -- Index."The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"--PSZ_JBForensic accountingFraudMisleading financial statementsURN:ISBN:9780470890462
spellingShingle Forensic accounting
Fraud
Misleading financial statements
Nigrini, Mark J., (Mark John), author 521262
Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title_full Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title_fullStr Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title_full_unstemmed Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title_short Forensic Analytics : Methods and Techniques for Forensic Accounting Investigations /
title_sort forensic analytics methods and techniques for forensic accounting investigations
topic Forensic accounting
Fraud
Misleading financial statements
work_keys_str_mv AT nigrinimarkjmarkjohnauthor521262 forensicanalyticsmethodsandtechniquesforforensicaccountinginvestigations