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Teaching predictive audit data analytic techniques : time-series forecasting with transactional and exogenous data

Yan, Zhaokai; Appelbaum, Deniz; Kogan, Alexander; … - In: Journal of emerging technologies in Accounting 20 (2023) 1, pp. 169-194

Persistent link: https://www.econbiz.de/10014310031

Data analytics : introduction to using analytics in auditing

Chan, David Y.; Kogan, Alexander - In: Journal of emerging technologies in Accounting 13 (2016) 1, pp. 121-140

Persistent link: https://www.econbiz.de/10011846587

New Perspective: Data Analytics as a Precursor to Audit Automation

Chan, David Y.; Chiu, Victoria; Vasarhelyi, Miklos A. - In: Continuous Auditing : A Book of Theory and Application, (pp. 315-322). 2018

Persistent link: https://www.econbiz.de/10015361976

Visual analytics and visual audit

Zhang, Lu; Lee, Heejae; Liu, Qi; Vasarhelyi, Miklos A. - In: Journal of emerging technologies in Accounting 22 (2025) 1, pp. 153-173

Persistent link: https://www.econbiz.de/10015427218

Audit analytics in the financial industry

Dai, Jun (ed.); Vasarhelyi, Miklos A. (ed.); … - 2019

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...

Persistent link: https://www.econbiz.de/10012691720

Applications of data analytics : cluster analysis of not-for-profit data

Alzamil, Zamil S.; Appelbaum, Deniz; Glasgall, William; … - In: Journal of information systems : a publication of the … 35 (2021) 3, pp. 199-221

Persistent link: https://www.econbiz.de/10012793317

Audit analytics in the financial industry

Dai, Jun (ed.); Vasarhelyi, Miklos A. (ed.); … - 2019 - First edition

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...

Persistent link: https://www.econbiz.de/10012175161

Audit analytics : a field study of credit card after-sale service problem detection at a major bank

Dai, Jun; Byrnes, Paul; Liu, Qi; Vasarhelyi, Miklos A. - In: Audit analytics in the financial industry, (pp. 17-33). 2019

Persistent link: https://www.econbiz.de/10012161593

Are customers offered appropriate discounts? : an exploratory study of using clustering techniques in internal auditing

Dai, Jun; Byrnes, Paul; Vasarhelyi, Miklos A. - In: Audit analytics in the financial industry, (pp. 59-69). 2019

Persistent link: https://www.econbiz.de/10012161606

Analyzing payment data and its process : a bank case

Chandia, Karina; Vasarhelyi, Miklos A. - In: Audit analytics in the financial industry, (pp. 217-235). 2019

Persistent link: https://www.econbiz.de/10012161635