SAS created JMP in 1989 to empower scientists and engineers to explore data visually. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. All of our software is visual, interactive, comprehensive and extensible.
JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected.
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Using a data driven approach to deliver solutions
Learn how to start with Design of Experiments (DoE) and develop the mindset
Learn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
Learn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
Learn how GSK’s Design of Experiments approach has resulted in a more efficient development process and delivered greater understanding and control of their drug production processes