Consumers can shop for anything, anywhere, anytime and with anyone. Therefore, retailers need to compete on analytics and must analyze customer data carefully. BrandLoyalty is the global leader in providing innovative, incentive-driven loyalty programs designed to drive immediate improvements in retail performance. BrandLoyalty is working together with JADS (Jheronimus Academy of Data Science) to improve its analytical capabilities. As part of a joint research program we are looking for a PhD student interested in the project “Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)”. The goal of this project is to apply existing process mining techniques to BrandLoyalty’s data and develop new techniques tailored to the analysis of customer behavior.
If you have a vacancy item for this page, please send it to Eric Verbeek.