Transforming “time spent on data analysis” into “time that creates value”
JMP is a statistical analysis software used by researchers and engineers around the world. It is designed to efficiently connect data and insights obtained in the field to results that support decision‑making. One of its key features is the ability to perform a wide range of statistical analyses—such as advanced Design of Experiments (DOE), quality control, and multivariate analysis—using only mouse operations. Data managed in Excel and other tools can also be smoothly reshaped into analysis‑ready formats, enabling fast analysis without requiring complex programming. In JMP, graphs, statistical results, and data are displayed interactively and in sync, allowing users to deepen their understanding through exploration and iteration. Hypotheses and insights held by experienced engineers can be statistically validated, visualized, and organized in a form that is easy to share within teams. These visualizations support aligned discussions among stakeholders as well as evidence‑based reporting and explanation. Leveraging JMP not only reduces the burden of analysis and data preparation but also contributes to process improvement and faster development cycles. By connecting the expertise of seasoned engineers with statistical analysis, JMP aims to bring greater confidence to decisions made on the front lines.
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basic information
■ Improving Operational Efficiency Through a Consistent Analysis Workflow JMP supports the entire process—from data import and preprocessing to statistical analysis, visualization, and report creation. By streamlining and standardizing analytical tasks, it helps reduce the workload associated with data analysis operations. ■ Intuitive, Flow‑Preserving Interactions and Predictive Insights Analysis results and graphs are dynamically linked, allowing users to instantly identify the corresponding source data simply by clicking an outlier on a graph. By analyzing manufacturing data and combining the expertise of seasoned engineers with JMP’s statistical outputs, JMP supports the development of strategies to improve yield. ■ Optimization Through Design of Experiments (DOE) JMP enables the creation of efficient experimental designs for evaluating numerous factors—such as materials, temperature, and pressure. It also considers interactions that are often overlooked in one‑factor‑at‑a‑time studies. JMP further supports prediction of how characteristics change under different conditions and visualization of the “design space,” which identifies the range of conditions that meet target specifications. ■ Comprehensive Technical Support and Learning Resources In addition to Japanese‑language online manuals and help features, JMP provides technical support from Japan‑based staff. For beginners, monthly online hands‑on seminars are offered. A variety of free seminars, videos, and practical learning materials are also available.
Price information
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Price range
P3
Delivery Time
P2
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Applications/Examples of results
■ Research & Development / New Product Development JMP can be used for tasks such as evaluating material formulations and identifying factors that influence product characteristics. Through Design of Experiments (DOE) and visualization of analytical results, it supports shorter development cycles and cost reduction. ■ Quality Control & Process Improvement By using control charts, calculating process capability indices, and checking for outliers, JMP helps identify trends in quality variation and sources of fluctuation. It enables data‑driven investigation of conditions and patterns that may lead to quality issues, supporting yield improvement and quality stabilization efforts. ■ Equipment and Process Optimization Using data accumulated on the manufacturing floor, JMP organizes and visualizes factors related to quality and cost. It statistically captures the relationship between operating conditions and outcomes, supporting stable operation and the review of operating parameters. ■ Regular Reporting & Team Information Sharing Analysis results can be clearly summarized in graphs and tables for internal reports and presentations. Explanations grounded in objective data help facilitate reporting to management and smooth technical discussions across departments. 【User Case Studies】 Success stories from a wide range of manufacturing industries—including chemicals, machinery, automotive, pharmaceuticals, and semiconductors—are available on our website. User stories: https://www.jmp.com/ja/customer-stories/customer-listing/all
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Company information
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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