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JMP
www.jmp.com
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.
Contact info
- Tel:
- +44 1628 490 974
- Email:
- jmpuk@jmp.com
SponsoredDriving drug development success
An upcoming JMP webinar will show how data-driven decision-making can improve predictability and boost efficiency
- Sponsored
Smart trial and error for rapid innovation
Accelerating innovation in business is often about encouraging organisations to take a new approach. This live stream seminar shows how
- Webinar
Industrial data science for chemical process perfection
Join us on 7 April 2020 for a webinar to learn how to better understand chemical processes
- Sponsored
Transforming innovation for startups
Green polymer specialists Novomer and biotech startup SynbiCite optimised industrial and biotech processes using design of experiment software from JMP
- Sponsored
The benefits of diving into data analytics early
Data mining brings a range of benefits to R&D processes, especially if analysis happens at the right time
- Sponsored
Increasing innovation through data analytics
In September, a group of scientists and engineers gathered to discuss some of the challenges they face in getting to market faster, reducing product costs and gaining insights more quickly
- Webinar
How to ensure Quality by Design
Learn how to develop consistently better processes with a strategic focus on risk, understanding and control
- Sponsored
Gaining innovation momentum through data analytics
Gaining innovation momentum through data analytics
- Sponsored
Free online course: Statistical thinking for industrial problem solving
Using a data driven approach to deliver solutions
- Sponsored
Build the best helicopter challenge
Can you figure out how to make the best paper helicopter?
- Sponsored
Design of experiments
Statistical analysis can accelerate development, reduce costs and increase manufacturing quality
- Webinar
Using a DoE mindset for successful experimentation
Learn how to start with Design of Experiments (DoE) and develop the mindset
- Sponsored
Better chemistry through data
Are you under constant pressure to innovate? Get a boost from data analytics
- Webinar
Start being predictable: improve your experimentation
Learn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
- Webinar
Capturing value from your data to accelerate innovation
Learn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
- Webinar
How to make analytical methods fit-for-purpose
Learn how to develop scientific analytical methods that are fit-for-purpose
- Webinar
Data analytics for analytical method development
Learn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
- Webinar
Optimising your experimentation process using JMP: GSK case study
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
- Webinar
Future chemistry: exploring the possibility space
Find out how to accelerate discovery by understanding vast and complex chemistry problems with visual and predictive data modelling
- Webinar
Learn more from your experiments with DoE in JMP
Learn more from your experiments using design of experiments (DoE) with JMP.
