Associate Professor, University of Southampton (United Kingdom)
Bart Baesens is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom), as well as an internationally known data analytics consultant. He is a foremost researcher in the areas of web analytics, customer relationship management, and fraud detection. His findings have been published in well-known international journals including Machine Learning and Management Science. Baesens is also co-author of the book Credit Risk Management: Basic Concepts.
By This Author
Fraud Analytics with SAS®: Special Collection
Foreword by Bart Baesens
Current thinking in fraud detection is moving away from the silo approach and recognizing the need for a more proactive and holistic approach to data and analytics. An isolated event may be flagged as suspicious, but without a complete view of the interplaying relationships, the investigator might ignore it.
SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism.
Extra and Events
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
- Kevin D. Smith has been a software developer at SAS since 1997.