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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Mark J. Nigrini, PhD, is an Associate Professor at The College of New Jersey, where he teaches auditing and forensic accounting. His current research addresses forensic and continuous monitoring techniques and advanced theoretical work on Benford's Law. Dr. Nigrini has published his Benford's Law and forensic accounting research in academic journals and in professional accounting and auditing publications. He has been interviewed on radio and television and his work has been discussed in publications including the Wall Street Journal and the New York Times.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Etat : Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00099329438
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Vendeur : Wonder Book, Frederick, MD, Etats-Unis
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Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Hardcover. Etat : Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. N° de réf. du vendeur 0470890460-11-1
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Vendeur : One Planet Books, Columbia, MO, Etats-Unis
hardcover. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 001147456U
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Vendeur : Goodbooks Company, Springdale, AR, Etats-Unis
Etat : acceptable. This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps. N° de réf. du vendeur GBV.0470890460.A
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Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
hardcover. Etat : Good. 1st Edition. Ships same day or next business day! UPS shipping available (Priority Mail for AK/HI/APO/PO Boxes). Used sticker and some writing and/or highlighting. Used books may not include working access code. Used books will not include dust jackets. N° de réf. du vendeur 001147456U
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Vendeur : Bookbot, Prague, Rébublique tchèque
Hardcover. Etat : As New. Leichte Abnutzungen. 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. N° de réf. du vendeur 9523abe0-885f-40e2-8e95-0a4090cae696
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Vendeur : J. Wyatt Books, Ottawa, ON, Canada
Hardcover. Etat : Fine. Etat de la jaquette : Near Fine. 463 pages in excellent condition. Blue hardcovers with gilt spine titles. Corners not bumped. Blue, illustrated DJ with yellow titles. Very light wear. FINE/NEAR FINE. Book. N° de réf. du vendeur 216243
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 1st edition. 480 pages. 10.50x7.50x1.50 inches. In Stock. N° de réf. du vendeur 0470890460
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