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Publicado por Emerald Publishing Limited, GB, 2019
ISBN 10: 1787430863 ISBN 13: 9781787430860
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 135,60
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Añadir al carritoHardback. Condición: New. In Audit Analytics in the Financial Industry, editors Jun Dai, Miklos A. Vasarhelyi and Ann F. Medinets bring together a cast of expert contributors to explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Separated into six parts, the contributors take a variety of approaches to this exploration. In Part One, the contributors present two articles illustrating the process of applying Audit Analytics to solving audit problems. Part Two contains four studies that use various Audit Analytics techniques to discover fraud risks and potential frauds in the credit card sector. In Part Three, the chapter focus on the insurance sector and show the application of clustering techniques in auditing. Part Four includes two chapters on how to employ Audit Analytics in the transitory system for fraud/anomaly detection. Finally, Parts Five and Six illustrate the use of Audit Analytics to assess risk in the lawsuit and payment processes. For students, researchers, and professionals in the accounting sector, this is an unmissable read exploring the latest research in Audit Analytics.
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ISBN 10: 1787430863 ISBN 13: 9781787430860
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 138,11
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Añadir al carritoHardback. Condición: New. In Audit Analytics in the Financial Industry, editors Jun Dai, Miklos A. Vasarhelyi and Ann F. Medinets bring together a cast of expert contributors to explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Separated into six parts, the contributors take a variety of approaches to this exploration. In Part One, the contributors present two articles illustrating the process of applying Audit Analytics to solving audit problems. Part Two contains four studies that use various Audit Analytics techniques to discover fraud risks and potential frauds in the credit card sector. In Part Three, the chapter focus on the insurance sector and show the application of clustering techniques in auditing. Part Four includes two chapters on how to employ Audit Analytics in the transitory system for fraud/anomaly detection. Finally, Parts Five and Six illustrate the use of Audit Analytics to assess risk in the lawsuit and payment processes. For students, researchers, and professionals in the accounting sector, this is an unmissable read exploring the latest research in Audit Analytics.
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Añadir al carritoHardcover. Condición: Brand New. 235 pages. 9.25x6.25x0.75 inches. In Stock.
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Publicado por Emerald Publishing Limited, 2019
ISBN 10: 1787430863 ISBN 13: 9781787430860
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly .
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Publicado por Emerald Publishing Limited, 2019
ISBN 10: 1787430863 ISBN 13: 9781787430860
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Añadir al carritoBuch. Condición: Neu. Audit Analytics in the Financial Industry | Jun Dai (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Emerald Publishing Limited | EAN 9781787430860 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Emerald Publishing Limited, 2019
ISBN 10: 1787430863 ISBN 13: 9781787430860
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes.