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  3. SAS Institute Japan JMP Japan Division
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SAS Institute Japan JMP Japan Division

number of employees300
addressTokyo/Minato-ku/11th Floor, Roppongi Hills Mori Tower, 6-10-1 Roppongi
phone03-6434-3780
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last updated:Apr 08, 2026
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  • Products/Services(8)
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SAS Institute Japan Company Overview

Seeing is understanding - Statistical software for dynamic data exploration

The JMP story goes back to 1989 when John Sall decided to combine statistical analysis capabilities with graphical visualizations to animate and visualize data. For more than 35 years now, John Sall has led JMP R&D, making each version of JMP more visual, more interactive, and more practical to help users understand their data. What started as a passion project has grown by leaps and bounds. It’s now a family of statistical software products designed with scientists and engineers in mind and used worldwide in nearly every industry.

Business Activities

In 1989, JMP was launched as a SAS product – one of the many software products developed and sold by the global software giant. As a co-founder of SAS, John Sall had his hands on many important SAS products. But JMP was special to him and where he decided to focus his efforts. Year after year, JMP got better and better. And the JMP team got bigger and bigger. One product became two, then three, and now four. While, in the early days, it was said that JMP could pretty much sell itself, Sall still had the foresight to set up sales, marketing, and other dedicated operations so that JMP could stand alone as a business unit within the safety and security of SAS. Jump to January 1, 2022: After more than 30 years as a business unit, JMP became a wholly owned subsidiary of SAS. As its own company, with a different user base than SAS and different goals for its statistical offerings, JMP is moving in a different direction from SAS. Specifically, JMP is embracing the challenges of analytical practitioners within the science and engineering community.

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Products/Services (8)

Starting Health and Medical Data Analysis with JMP / JMP Pro product image
Starting Health and Medical Data Analysis with JMP / JMP Pro
Seminar for Engineers: Practical Use of Data in Manufacturing Industry product image
Seminar for Engineers: Practical Use of Data in Manufacturing Industry
Statistical Analysis Software JMP Basic Seminar on Experimental Design product image
Statistical Analysis Software JMP Basic Seminar on Experimental Design
Bayesian Optimization with the Statistical Analysis Software JMP Pro product image
Bayesian Optimization with the Statistical Analysis Software JMP Pro

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catalog(25)

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Calculation of "Indoor Reproduction Accuracy" and "Parallel Accuracy" Using a Mixed Effects Model - Evaluation of Accuracy in Pharmaceutical Development - Practical Example of Statistical Analysis Software JMP

Calculation of "Indoor Reproduction Accuracy" and "Parallel Accuracy" Using a Mixed Effects Model - Evaluation of Accuracy in Pharmaceutical Development - Practical Example of Statistical Analysis Software JMP

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Consideration of pharmacokinetic models when varying covariates: Practical example using statistical analysis software JMP.

Consideration of pharmacokinetic models when varying covariates: Practical example using statistical analysis software JMP.

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A study on the deliciousness of caramel popcorn using the "MaxDiff plan" in the statistical analysis software JMP.

A study on the deliciousness of caramel popcorn using the "MaxDiff plan" in the statistical analysis software JMP.

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How to Utilize the By Variable Feature to Streamline Stratified Analysis (Practical Example Using the Statistical Analysis Software JMP)

How to Utilize the By Variable Feature to Streamline Stratified Analysis (Practical Example Using the Statistical Analysis Software JMP)

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news(5)

Starting Health and Medical Data Analysis with Statistical Analysis Software JMP19/JMP Pro19

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  • SEMINAR_EVENT

In the health and medical fields, which are directly connected to people's lives, it is essential to carefully interpret the results of data analysis and utilize them in decision-making. This seminar will first introduce basic analytical methods using JMP 19 and explain the contexts in which each method can be applied. Next, we will discuss the thought process for making causal interpretations, such as "Did a certain treatment improve the condition?" and how to estimate causal effects using JMP Pro 19. - Comparison of results before and after treatment using paired t-tests - Group comparisons using t-tests - Group comparisons considering pre-treatment values through analysis of covariance - Distinguishing between correlation and causation - Estimation of causal treatment effects This seminar will introduce these basic analytical methods with demonstrations. Those without statistical expertise and those unfamiliar with JMP are also very welcome. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/09-11-health-medical-data

Aug 18, 2026

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Practical Use of Data in Manufacturing Industry: Quality and Process Improvement Practices by User Companies of Statistical Analysis Software JMP

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  • SEMINAR_EVENT

In the manufacturing industry, while a lot of quality and process data has been accumulated, there are still many cases where its value is not fully utilized. In this seminar, two companies will introduce examples of using JMP to engage in data analysis and improvement activities. 【Presentation Overview】 1. "Unraveling the 'Personality' of Batteries!" Utilizing "Raw Data" for "Proactive Quality" Hasegawa Kaoru and Shimada Kohei from Energy With Co., Ltd. 2. Why Can't We Find the Root Cause of Defects? ~Data-Driven Improvement Practiced with JMP~ Tsuji Ikumi from Atfields Technology Co., Ltd. 【Target Audience】 - Individuals involved in quality control, quality assurance, production technology, and manufacturing technology in the manufacturing industry. - Those who want to utilize quality data and process data to work on quality and process improvements. - Anyone interested in data analysis and quality/process improvement using JMP (both JMP users and non-users are welcome). ▼Details & Registration https://www.jmp.com/ja/events/seminars/non-series/2026/09-18-manufacturing

Aug 13, 2026

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For researchers and technology developers in the manufacturing industry! No-code introductory seminar on "Statistical Analysis Software JMP: Basics of Experimental Design."

  • SEMINAR_EVENT

This is an introductory seminar to learn the basic operations of JMP's "Design of Experiments (DOE)." Anyone can participate, regardless of industry, job type, or experience with design of experiments. You will be able to experience the basic operations and functions of design of experiments while actually operating JMP on your own device, following the text (PDF version) and the instructor's explanations. [Content] The seminar will focus on explaining the procedures for creating experimental designs, entering experimental data, fitting models, and visualizing results (such as contour plots and response surfaces) using JMP. JMP's "Custom Design" is a flexible experimental design creation feature that accommodates screening experiments and optimization experiments. It allows for the combination of various types of factors, such as continuous factors, categorical factors, and mixture factors, and can also create experimental designs with constraints set on the factors. In this seminar, we will introduce these features and how to utilize them while actually creating experimental designs using "Custom Design." If you do not have JMP, you can participate using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial

Jul 14, 2026

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Detailed information

Company name SAS Institute Japan JMP Japan Division
number of employees300
Contact addresspostalcode 106-6111 Tokyo/ Minato-ku/ 11th Floor, Roppongi Hills Mori Tower, 6-10-1 RoppongiView on map TEL:03-6434-3780
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