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JMP

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JMP

last updated:Apr 02, 2026

SAS Institute Japan JMP Japan Division
SAS Institute Japan JMP Japan Division
  • Official site

Analyze visually and interactively.

JMP, developed by SAS, has been used as a tool for statistical discovery by scientists, engineers, and people in various industries and government sectors engaged in data exploration. JMP is a desktop software that combines dynamic data visualization with powerful statistical capabilities, processing data in-memory. With interactive and visual JMP, it is possible to gain insights that cannot be obtained from mere tables of numbers or static graphs. In JMP, graphs, statistics, and data are all linked. This allows for deeper exploration of thoughts and leads to groundbreaking discoveries. JMP enables users to perform analyses in succession while staying in the flow of analysis. You can explore while maintaining the flow of the analysis, and there is no need to re-execute commands when new questions arise. Using JMP significantly improves the efficiency of data analysis, making it easy to handle everyday tasks and complex statistical problems, while also effectively communicating the results of the analysis.

    Construction and process management softwareScientific Calculation and Simulation SoftwareBig Data
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JMP

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  • Related Link - https://www.jmp.com/ja/software/data-analysis-soft…

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basic information

What is the exploratory statistical analysis software "JMP"? - It is software for statistical discovery and visualization that enables everything from data input/loading, processing, graph creation, analysis, to reporting all in one package. - It has a menu structure that aligns with the data analysis process, encouraging analysts to expand their thinking and enabling exploratory analysis. - Analysis results and their graphs are displayed in the same window, making it easy to verify results. - Data and graphs are dynamically linked, allowing for intuitive understanding of data trends. - While equipped with numerous advanced features, it can be easily operated with point-and-click. - It includes a Japanese online manual, help that displays and searches for functions, and tutorial features for first-time users to learn how to operate it. - Additionally, it has a help tool that allows users to click on parts of the report to call up detailed explanations. - It is possible to re-run and share analyses that have been executed once.

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Prices vary depending on the sales format, so please contact us for more information.

Price range

P3

Delivery Time

P2

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Applications/Examples of results

New product development, quality control, production cost management. Furthermore, a quality management program using Six Sigma. JMP is implemented by companies around the world for various purposes. Various business personnel, including business analysts, scientists, researchers, customer service representatives, and product managers, utilize JMP to examine and leverage data. ■ Business Visualization Transforms data into living information through dynamic, interactive, and visual approaches. ■ Innovation Reduces bottlenecks in new product development and research and development, shortening development time. JMP promotes innovation in fields such as chemicals, pharmaceuticals, semiconductors, consumer goods manufacturing, aviation, and automotive. ■ Quality Control Helps pursue problems and their causes through experimental design, predictive models, and interactive analysis, resolving issues before they become apparent. ■ Six Sigma With the visual Six Sigma provided by JMP, you can instantly grasp the patterns of variation, regardless of how many X and Y variables there are.

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JMP

JMP

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Five reasons to create a "tree map" with the statistical analysis software JMP.

Five reasons to create a "tree map" with the statistical analysis software JMP.

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Covering Space with Limited Trials Using the Statistical Analysis Software JMP: Practicing Space Filling Plans

Covering Space with Limited Trials Using the Statistical Analysis Software JMP: Practicing Space Filling Plans

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Factor settings to keep within specification limits using the statistical analysis software JMP - An approach through "simulation experiments".

Factor settings to keep within specification limits using the statistical analysis software JMP - An approach through "simulation experiments".

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Evaluation of Similarity of Dissolution Curves: Similarity Assessment of Dissolution Behavior Using f2 and Confidence Intervals - Practical Example Using Statistical Analysis Software JMP

Evaluation of Similarity of Dissolution Curves: Similarity Assessment of Dissolution Behavior Using f2 and Confidence Intervals - Practical Example Using Statistical Analysis Software JMP

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How to compare multiple process parameters in a single graph - Utilizing "multiple Y-axes" - Practical example using the statistical analysis software JMP.

How to compare multiple process parameters in a single graph - Utilizing "multiple Y-axes" - Practical example using the statistical analysis software JMP.

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Forecasting the number of births in 2026 through 'time series analysis' using the statistical analysis software JMP - Which prefecture is expected to see an increase?

Forecasting the number of births in 2026 through 'time series analysis' using the statistical analysis software JMP - Which prefecture is expected to see an increase?

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Design of Experiments (DOE)

For researchers and technology developers in the manufacturing industry! A hands-on seminar on "JMP Statistical Analysis Software: Basics of Experimental Design" that can be started with no coding required.

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  • 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 instructor's explanations and the provided text (PDF version). **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 supports 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 you can also create experimental designs with constraints on factors. In this seminar, you will create experimental designs using "Custom Design" while learning about these features and how to utilize them. 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

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Time Series Data Analysis with Statistical Software JMP - Visualizing, Analyzing, and Forecasting Business Data.

  • Seminar・Event

Many of the data handled by companies, such as sales, inventory levels, and sensor measurements, are "time series data" recorded over time. The situations in which such data is handled have been increasing in recent years. In this seminar, we will use real time series data as a subject to explain everything from the visualization of time series data to quantifying factors through regression, forecasting using time series models, and What-if analysis, with demonstrations included. When it comes to regression, it is important to pay attention to the point where previous and subsequent values are interrelated (autocorrelation), but by using time series models that take advantage of this characteristic, accurate predictions can be made. You will gain insights into the unique handling techniques of JMP and tips for utilizing business data for forecasting and decision-making. 【Main Content】 Using real time series data as a subject, we will convey the following items with JMP demonstrations: - The benefits and important considerations of analyzing time series data with JMP (date processing, lag functions, etc.) - Visualization of time series data (considerations using line graphs and smoothed lines) - Quantification of factors through regression models - Future forecasting and What-if analysis using time series models (ARIMA, smoothing) - Features and differentiation of JMP's platforms "Time Series Analysis" and "Time Series Forecasting"

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Graph Builder

Kanazawa Face-to-Face Seminar!! For Researchers and Engineers in the Manufacturing Industry: How to Start Exploratory Data Analysis and Visualization Using the Statistical Analysis Software JMP (7/24)

  • Seminar・Event

To those involved in manufacturing research and technology development, such as semiconductor, chemical, life sciences, and consumer goods sectors, as well as manufacturing and quality control professionals. If you feel the limitations of Excel, start with this seminar. This is a free seminar on JMP aimed at manufacturing engineers who understand the need for data analysis but lack usable tools, or who want to utilize statistics but cannot write code. We will focus on preprocessing, visualization, and basic analysis, which are the starting points for data analysis, and we will clearly introduce practical applications in a demo format. You will learn how to streamline data formatting and graph creation, and acquire points to quickly notice trends and relationships in the data. 【Target Audience】 - Individuals involved in manufacturing, such as semiconductor, chemical, life sciences, and consumer goods sectors - Engineers and researchers interested in data exploration and visualization - Those who want to start working on data analysis in their jobs - Those considering the introduction of JMP ▼ Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/07-24

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Decision tree

Getting Started: JMP Statistical Analysis Software Experience Seminar (7/29)

  • Seminar・Event

To researchers and technology developers in the manufacturing industry, as well as manufacturing and quality managers. If you feel the limitations of Excel, start with this seminar. This is a free seminar on JMP aimed at manufacturing engineers who understand the need for data analysis but lack usable tools, or who want to utilize statistics but cannot write code. It will be conducted online in a format where you can operate JMP on your own while watching the instructor's demonstration, making it easy for first-time participants to join. ▼Details & Registration https://www.jmp.com/ja/events/live-webinars/hands-on-workshops/2026/07-29-getting-started Those who do not have JMP can participate using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial Seminar Content - Data visualization - Exploring relationships between data - Comparing means, regression analysis - Data exploration using various graphs (Graph Builder, Bubble Plot) - Creating and comparing predictive models (Stepwise Regression, Decision Trees)

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Company information

SAS

SAS Institute Japan JMP Japan Division

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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.

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