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
WebinarThe age of digital chemistry
Join us on June 29 to learn how data can solve existing bottlenecks in synthetic chemistry and why data analysis demands a multidisciplinary approach
- Webinar
A recipe for success in exploiting machine learning and data science
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
- Webinar
Statistics versus machine learning: should we all learn artificial intelligence?
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
- Webinar
Gaining an edge through smarter experimentation
Learn how to double your R&D capacity and get more products to market in less time – and at a lower cost
- Webinar
Good practices in data analytics
Join us to learn how the University of Limerick develops skills and knowledge of data analytics via their Pharmaceutical Manufacturing Technology Centre (PMTC)
- Webinar
Smarter experimentation for scientists and engineers
An innovative online training programme in design of experiments
- Webinar
Scaling up processes with Design of Experiments
Learn how Fujifilm Diosynth Biotechnologies uses Design of Experiments to understand the best way to scale up reactions
- Sponsored
Speeding up your innovation cycle
Work smarter by leaving behind traditional trial and error methods and adopting design of experiments
- Sponsored
Innovating in complex environments
The benefits of digital tools and automation with no programming required
- Webinar
Synthace: Accelerating process development with automated Design of Experiments
Join us to learn how Synthace’s software platform, Antha, empowers scientists to automate Design of Experiments (DoE) for optimising bioprocesses
- Sponsored
The race for a sporting breakthrough
Good methods and process understanding are key to overcoming the challenges of designing high performance sportswear materials
- Webinar
Smarter experimentation for chemists
An innovative online training programme in design of experiments
- Webinar
WL Gore: Optimising production processes with Design of Experiments
Learn how WL Gore use definitive screening designs to analyse multiple factors and optimise production processes
- Webinar
Mastering complex processes with Design of Experiments
Learn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
- Sponsored
Optimising biotech processes
Fujifilm Diosynth Biotechnologies achieve both speed and scale through designed experiments
- 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
Teaching Design of Experiments to chemists: lessons from Imperial College London
First-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
- Sponsored
Driving 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
