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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Join us to discover how data science and big data are revolutionising decision making – and why claims that experts are no longer needed are misleading
Join us to understand the limitations of deep learning & why advanced statistical modelling is still needed – both in academic curricula and in the toolbox of any scientist or engineer
An innovative online training programme in design of experiments
Join us to learn how Synthace’s software platform, Antha, empowers scientists to automate Design of Experiments (DoE) for optimising bioprocesses
Learn how WL Gore use definitive screening designs to analyse multiple factors and optimise production processes
Learn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
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