Ryan Bays is a Senior Lead Technologist with Booz Allen Hamilton’s Corporate Quality Office, specializing in business analytics, business process improvement, and project management. He has a Graduate Certificate in Business Analytics from the Kelley School of Business at Indiana University and is a certified Project Management Professional as well as a Lean Six Sigma Black Belt. Ryan brings more than 20 years of experience solving complex business problems in multiple industries including government, public health, automotive, and banking. He has presented at the Capability Counts 2016, 2017, and 2018 conferences as well as at the 2016 ASQ Service Quality Division conference.
Conference Track: Tutorial
In this presentation, we will talk about how a project can turn process performance data into a useful process performance model. The discussion will focus on an approach for creating and evaluating a baseline of data as well as on methods for determining what factors influence those baselines, and of those factors, what can actually be controlled by a project. Additionally, we will discuss the difference between a predictive model and a prescriptive model as it relates to process performance. Finally, we will share our lessons learned for creating, deploying, and maintaining a process performance model.