Scott Lee Wise, MBB, CQE, PMP JMP Global Enablement, SAS Institute, Inc.

Holistic DOE: Learning in the Face of Uncertainty Presentation Description: Holistic DOE (Design of Experiments) will show how advancements in analytic tools can help consistently meet customer requirements in the face of uncertainty. Methods will be shown on how to use observational sources of data in order to create better future experiments.

Holistic DOE: Learning in the Face of Uncertainty Topics Covered: How to get the most from large and messy data, even with missing information How to use modern screening approaches to find the right potential drivers of performance How to compare the potential drivers of performance to pick the best ones for further experimentation How to select the right types of experiments to get optimized results with the lowest experimental cost Relevant case studies will be used to show first hand how Holistic DOE approaches drive superior results across common application areas.

Holistic DOE: Learning in the Face of Uncertainty Objectives: Objective 1: See how Holistic DOE can use observational data sources in order to create better future experiments Objective 2: Learn leading methods that best screen many factors and find drives of performance Objective 3: Learn how to select the right types of experiments to get optimized results at the lowest cost