Carrie Beam

Carrie Beam investigates challenges and opportunities in the realm of analytics, focusing on prescriptive modeling, predictive modeling, and data management. As the Director of Analytics Projects at the UC Davis Graduate School of Management, she brings two decades of rich experience in analytics consulting, research, and teaching to the Master of Science in Business Analytics (MSBA) program. Her academic journey began with a B.S.E. in civil engineering and operations research from Princeton University, followed by a Ph.D. in industrial engineering and operations research from UC Berkeley. Dr. Beam's research interests lie in the development and application of advanced analytics models that drive decision-making processes. Her work emphasizes the importance of effectively communicating complex analytics insights to stakeholders who may not have a technical background. This skill is crucial in ensuring that data-driven strategies are understood and implemented across various organizational levels. In addition to her academic and professional roles, Carrie Beam has contributed significantly to the analytics community. She served as the chair of the prestigious Franz Edelman Award for Achievement in Analytics in both 2021 and 2022, highlighting her leadership and expertise in the field. Her role as a Certified Analytics Capability Evaluation (ACE) Coach further underscores her commitment to advancing analytics capabilities within organizations. Dr. Beam's contributions to the field of analytics are not limited to her professional endeavors. She is passionate about mentoring the next generation of analytics professionals, guiding them to harness the power of data in innovative ways. Her teaching philosophy centers around equipping students with the skills necessary to tackle real-world challenges using data-driven approaches. Through her work, Carrie Beam continues to push the boundaries of what is possible in analytics, striving to create solutions that are not only technically sound but also practically applicable. Her dedication to the field is evident in her ongoing efforts to bridge the gap between complex data analysis and actionable business insights.