LIVE WEBINAR
Building Better Predictive Models with JMP Pro
Date: Tuesday, Sept. 24
Time: 1 p.m. ET | 10 a.m. PT
Duration: 45 minutes
Registration: FREE
Do you have data but aren't sure how to turn it into reliable predictions or actionable insights?
Building a model is easy. Building the right model is where the real value lies. If you're looking to move beyond basic analysis and start predicting outcomes or understanding key drivers in your data, we're hosting a short introductory session on predictive modeling in JMP Pro.
In this 30-minute session (followed by a 15-minute Q&A), learn how to:
- Understand what predictive modeling is and when to use it.
- Build and compare predictive models in JMP Pro without coding.
- Interpret results and evaluate model performance.
After the session, you have the opportunity to request a free guided evaluation of JMP Pro.
About the presenters
Wendy Tseng,
Principal Systems Engineer
Wendy Tseng is a Principal Systems Engineer at JMP, where she helps engineers, scientists, and business analysts accelerate their impact in their projects, organizations, and careers through data and analytics. As a JMP user and statistician supporting Hair Care R&D at Procter & Gamble, she experienced firsthand the impact of empowering engineers and scientists with statistical tools: deepening scientific understanding, improving adaptability to changing market needs, and accelerating innovation.
Prior to joining JMP, Tseng worked as a consultant at Teradata and Mastercard Advisors, helping companies across the retail, restaurant, and financial services industries leverage data and analytics to solve complex business challenges. Tseng earned her bachelor’s degree in biomedical engineering and began her career as an R&D engineer in the medical device industry. After obtaining a master’s degree in applied statistics, she transitioned into analytics-focused roles, building a career that spans engineering, statistics, and business analytics.
Bill Worley,
Principal Systems Engineer
Bill Worley is a Principal Systems Engineer for JMP Statistical Discovery. He supports sales and customer development as part of the U.S. Central Strategic Chemical Team. Before joining JMP, Worley spent six years as a Technology Leader at Procter & Gamble, where he oversaw the use of JMP for design of experiments and statistical data analysis. He also trained P&G engineers and scientists in all aspects of empirical modeling and optimization. Worley is an analytical chemist by training with a master's in chemistry from the University of Cincinnati. He has held research roles at P&G, BASF, and Unilever.