JMP Statistical Discovery / SAS Institute GmbH

JMP is a business unit of SAS that produces interactive software for desktop statistical discovery. Pronounced “jump,” its name suggests a leap in interactivity, a move in a new direction. John Sall, SAS co-founder and Executive Vice President, created this dynamic software and remains its chief architect and leader of the JMP division. Introduced in 1989 with scientists and engineers in mind, JMP has grown into a family of statistical discovery products used worldwide in almost every industry. From its beginnings, JMP software has empowered its users by enabling interactive analytics on the desktop.

JMP products continue to complement – and are often deployed with – SAS solutions that provide server-based business intelligence. The SAS commitment to accuracy, value and quality is evident in every JMP software release. Training, technical support, licensing and distribution are provided to JMP users the world over through SAS. Teams specializing in JMP products are located in the United States, Europe, China and Japan.

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News from this company

Chemistry & Life Sciences

Sustainability from the Beginning

05.06.2024 -

The idea that statistics can address urgent sustainability concerns at the lab bench was central to presentations at the recent JMP Discovery Summit Europe in Manchester...

Strategy & Management

Transforming Research and Development with Design of Experiments

10.09.2020 -

Gaining and maintaining competitive advantage requires today’s organizations to innovate at increasing speed.

Chemistry & Life Sciences

Expert Webinar: Accelerating Process Development with Design of Experiments

31.07.2020 -

Synthace’s multidisciplinary team of researchers and software engineers have developed the Antha software platform to lower the barriers for scientists to execute...

Strategy & Management

Building a Culture of Analytic Excellence

20.04.2020 - Researchers, developers and engineers may question whether they have the capacity to adopt data analytics into their busy working lives. When there is always more to achieve than...

Plant Construction & Process Technology

Design of Experiments

10.09.2019 - Competition and increased demand for product innovation are placing unprecedented pressures on chemical manufacturing. As well as a seemingly unquenchable need for new products and...

Strategy & Management

Data Analytics in Chemical Production and Maintenance

14.02.2019 - In the era of big data and a growing interest in Internet of Things (IoT) and Industry 4.0, the pressure to innovate is especially strong in the process-enabling industries. As...

Webinars of this company

Webinar

Decoding Python: Shorten the time from discovery to model deployment using JMP Pro

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Learn more about JMP Pro, a powerful data analysis software tool that provides an intuitive and user-friendly interface for data visualization, modeling, and analysis.

Webinar

Analyzing Curve Data with JMP

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Learn more about analyzing two types of curves: curves that can be described by a formula and curves that need to be described with a flexible fit. 

Webinar

Using Design of Experiments (DOE) to Optimize and Innovate

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This webinar dives into the contrast between testing variables “one at a time” vs. “testing several” through Design of Experiments (DOE).

Webinar

Making Better Use of Spectral and Chromatographic Data in Product and Process Development

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Working with spectral and chromatographic data often results in noisy data. The good news is, there is a simple and efficient way to extract the signals from the noise...

Webinar

LANXESS Inorganic Pigments: Establishing statistical decision making across an organization

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An open-minded organization takes up an innovative work approach, establishes it and refines it with the appropriate new tool - Sounds like an ideal image or wishful...

Webinar

The Culture of Analytics at Johnson Matthey

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Interview with Pilar Gomez-Jimenez

Contact

JMP Statistical Discovery / SAS Institute GmbH

In der Neckarhelle 162
69118 Heidelberg
Germany

+49 (0)6221 415 3367