Karl Malaszczyk, Esq., Assistant Professor, and Dr. Bernice Purcell, Associate Dean and Associate Professor in the School of Business Administration recently had their article “Big Data in Fraud Detection” accepted for publication in the Journal of Finance and Accountancy.
The paper explains the concept of big data and details how tax authorities utilize big data-related analysis techniques to determine potential tax fraud in large corporation. These techniques involve use of computers and statistical analysis to determine irregular patterns in financial and tax-related matters. The paper proposes what knowledge, skills, and technology are needed to use big data in this type of endeavor.
The pair presented their paper at the Northeastern Association of Business, Economics, and Technology Conference on Thursday, October 26, 2017. The research and presentation discussion have led Malaszczyk and Purcell to explore interest in a related research study on accounting firms and big data.
“A major finding from the conference is that people do not realize how much data they provide to many different entities, including local, state, and the federal government, how they provide this data, or how this data could be used,” Purcell said. “The ethics involved in data collection and use will be an aspect of our future study.”