Using Design of Experiments (DOE) to Optimize and Innovate

This web seminar dives into the contrast between testing variables “one at a time” vs. “testing several” through Design of Experiments (DOE). Tom Donnelly and Jed Campbell, subject matter experts at JMP, swiftly navigate through the critical need for DOE (a branch of applied statistics) and introduce key tools in this process. Through practical examples and captivating real-life success stories, they will convey the message that if you're not already using DOE, you may want to start. Their analysis and testimony will portray a strong correlation between accelerated innovation and tailored experiments that meet your specific needs.