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Audit Analytics in the Financial Industry
Audit Analytics in the Financial Industry
★★★★★
★★★★★
Regular price
€102.99
Accounting Analytics
Accounting and Finance
Age Group_Uncategorized
Age Group_Uncategorized
Audit Analytics
Auditing
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B01=Ann Medinets
B01=Jun Dai
B01=Miklos A. Vasarhelyi
Big Data
Category1=Non-Fiction
Category=KFCF
Category=KFCM
Category=KFCR
COP=United Kingdom
Data Analytics
Delivery_Delivery within 10-20 working days
eq_business-finance-law
eq_isMigrated=2
eq_non-fiction
Financial Audits
Financial Industry
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch
Product details
- ISBN 9781787430860
- Weight: 502g
- Dimensions: 152 x 229mm
- Publication Date: 28 Oct 2019
- Publisher: Emerald Publishing Limited
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
Delivery/Collection within 10-20 working days
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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.
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.
Jun Dai is an Assistant Professor at Southwestern University of Finance and Economics, China. She received her Ph.D. from Rutgers Business School in 2017, and she researches accounting information systems and continuous auditing. Miklos A. Vasarhelyi is the KPMG Distinguished Professor of Accounting Information Systems at Rutgers University, and serves as Director of the Rutgers Accounting Research Center (RARC) and Continuous Auditing & Reporting Lab (CAR Lab).
Ann F. Medinets is an Associate Professor of Professional Practice at Rutgers University. Her paper "Say-on-Pay: Is Anybody Listening?" with Stephani Mason and Dan Palmon in the Multinational Finance Journal was featured on Harvard's Forum on Corporate Governance and Financial Regulation, and is among the top 10% of SSRN downloads.
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