Unearth the possibilities in your data
Lecture & Lunch
Combining Predictive Analytics and Experimental Design to Optimize Results
Date: April 4, 2019
Time: 9:00 am - 1:00 pm
Location: Sheraton Valley Forge, 480 North Gulph Rd., King of Prussia, PA 19406
Registration & Lunch: Free
Can you afford to miss insights hiding within information you might already have? Organizations are today collecting more data than ever. And while some companies may be satisfied with a predictive model that “just works,” they could do so much more to improve understanding, optimize parameters and make better predictions by combining predictive modeling with design of experiments (DOE).
Join us to learn about an alternative way to think about experimental design. Using observational sources of data, you can harness the power of predictive modeling to identify suggested relationships among factors that warrant further testing and exploration with design of experiments. It’s an iterative process that guides your line of questioning and efficiently delivers process knowledge to inform decision makers.
You will learn how to:
- Get the most from large and messy data, even with missing information.
- Use modern screening approaches to find the right potential drivers of performance.
- Compare the potential drivers of performance to pick the best ones for further experimentation.
- Select the right types of experiments to optimize results at the lowest cost.
Register now to attend in King of Prussia.
ABOUT THE SPEAKER
Don McCormack is a Technical Enablement Engineer for JMP. A practicing statistician for nearly 20 years, McCormack came to JMP from Amgen, where he was a senior quality engineer, following several years on the Technical Staff at SEMATECH, a semiconductor research and development consortium.