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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Learn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
Join us on July 7 to learn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
First-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
Join us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
Gaining innovation momentum through data analytics
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