Daniel Ringel is a marketer and data scientist interested in creating insights into complex relationship systems such as markets, assortments and networks. His work is at the frontier of cross-disciplinary methodology and contemporary marketing problems.
His research interests include competitive analysis, data visualization, machine learning, natural language processing and artificial intelligence in marketing. He currently studies the evolution of markets, the attention economy and customer experiences in the digital space. His mission is to provide firms with tools and models that inform their strategic decision-making.
Dr. Ringel developed seminal data science courses at UNC Kenan-Flagler in the MBA and the Undergraduate Business Programs. His teaching connects contemporary data science and machine learning methods with marketing theory to create new business opportunities and insights for managers.
He is a Full-Time MBA Program All-Star for his excellence in teaching and making a difference in students’ lives. He also teaches students from UNC’s Department of Computer Science.
Dr. Ringel has received numerous awards for his impactful work in practice, including the prestigious EHI Science Award of the German Retail Institute and the German Science Award of the German Marketing Association. His research appears in top-tier journals, including Marketing Science and the Journal of Marketing Research.
His industry experience spans over a decade in management consulting with a strong focus on marketing, e-commerce, product development and information technology. His past entrepreneurial activities include a retail and wholesale business in the electric flight industry with its own brands and production in China.
He received his PhD, summa cum laude, in marketing from Goethe-University Frankfurt, where he also earned his MBA in alliance with Duke’s Fuqua School of Business. He earned his BA in business and economics from Baden-Württemberg Cooperative State University.