Name: Dr. Gregory T. Bradley, Ph.D., MBA

Professional Title: Associate Teaching Professor | School of Leadership | College of Business & Economic Development | The University of Southern Mississippi

Bio: Dr. Gregory Bradley is an associate teaching professor in the School of Leadership, College of Business and Economic Development at the University of Southern Mississippi. Dr. Bradley teaches various quantitative-related management courses, and he teaches the capstone global managerial policy and strategy course.

He is also the founder and President of The Bradley Research Group, a 26-year-old applied research and decision analytics firm that specializes in using advanced analytics to reduce decision-making risk. His field of expertise is the application of quantitative and qualitative research in solving complex business and social problems. He has been the principal investigator/primary researcher on over 1,500 private and public research projects related predominately to either evaluating the relationships between and among employee/customer behavior and firm performance or measuring the economic impact of prescribed events.

He frequently collaborates with researchers across the globe concerning the innovative application of research outcomes, particularly at the confluence of the behavioral sciences, organizational development, and economics. Dr. Bradley has spoken at several domestic and international conferences and has authored a variety of research articles related to improving the decision-making process through quantitative analysis. In this unpredictable environment of data-driven disruption, business managers should strive to become more acclimated to looking through two lenses.

First, they should continually identify high-risk and relatively rewarding opportunities such as entering new markets and changing existing business models. Second, they should maintain their focus on integrating analytics into their core business decision-making processes. By embedding data analytics into their core strategies, business managers can (a) streamline internal business processes, (b) identify evolving consumer trends, (c) interpret and monitor emerging risks, and (d) build mechanisms for constant feedback and improvement.

Driving analytical transformations can thereby enable companies to gain a competitive edge and stay at the forefront of digital disruption. Along those lines, advanced data modeling can reduce organizational decision-making risk with the byproduct of enhancing the quality of data and providing greater agility to address unconventional data requirements. In sum, by becoming more risk-intelligent, managers can become more adept at dealing with uncertainty in strategic decision-making. Therefore, the purpose of this seminar is to discuss areas of business risk and opportunity and to introduce data analytic techniques to reduce decision-making under uncertainty.