Audit Analytics in the Financial Industry

Introduction: What is Audit Analytics?; Jun Dai, Miklos A. Vasarhelyi, and Ann F. Medinets Part One: Audit Analytics Procedures
1. An Application of Exploratory Data Analysis in Auditing: Credit Card Retention Case; Qi Lui
2. Audit Analytics: A Field Study of Credit Card After-Sale Service Problem Detection at a Major Bank; Jun Dai, Paul Byrnes, Qi Liu, and Miklos A. Vasarhelyi
Part Two: Analytics in Credit Card Audits
3. Automated Clustering: From Concept to Reality; Paul Byrnes
4. A Multi-Faceted Outlier Detection Scheme for Use in Clustering; Paul Byrnes
5. Are Customers Offered Appropriate Discounts? An Exploratory Study of Using Clustering Techniques in Internal Auditing; Jun Dai, Paul Byrnes, and Miklos A. Vasarhelyi
6. Predicting Credit Card Delinquency: An Application of the Decision Tree Technique; Ting Sun and Miklos A. Vasarhelyi
Part Three: Analytics in Insurance Audits
7. Cluster Analysis for Anomaly Detection in Accounting; Sutapat Thiprungsri
8. Multi-Dimensional Approaches to Anomaly Detection: A Study of Insurance Claims; Basma Moharram
Part Four: Audit Analytics in Transitory Systems
9. Development of an Anomaly Detection Model for a Bank's Transitory Account System; Yongbum Kim
10. Development of an Anomaly Detection Model for an Insurance Company's Wire Transfer System; Yongbum Kim
Part Five: Audit Analytics for Lawsuit Risk Detection
11. A Legal Risk Prediction Model for Credit Cards; Feiqi Huang, Qi Liu, and Miklos A. Vasarhelyi
Part Six: Audit Analytics in the Payment Process
12. Analyzing Payment Data and Its Process: A Bank Case; Karine Chandia and Miklos A. Vasarhelyi