Share
Audit Analytics in the Financial Industry (Rutgers Studies in Accounting Analytics) (in English)
Jun Dai (Author)
·
Emerald Publishing Ltd
· Hardcover
Audit Analytics in the Financial Industry (Rutgers Studies in Accounting Analytics) (in English) - Jun Dai
$ 100.79
$ 119.69
You save: $ 18.90
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 03 and
Wednesday, June 05.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Audit Analytics in the Financial Industry (Rutgers Studies in Accounting Analytics) (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.
