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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.

Produktbeschreibung
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.
Autorenporträt
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.