Statistical Analysis Software JMP Free Trial Seminar (6/10)
JMP
To researchers and technology developers in the manufacturing industry, as well as manufacturing and quality control managers. If you feel the limitations of Excel, start with this seminar.
This is a free seminar on JMP aimed at engineers in the manufacturing industry who understand the need for data analysis but lack available tools, and those who want to utilize statistics but cannot write code. Participants can comfortably join the online format by operating JMP on their own while watching the instructor's demo, making it suitable for beginners. 【Overview】 JMP is utilized across various industries and job types, with users coming from diverse backgrounds. The "Getting Started: JMP Experience Seminar" is structured to help participants understand JMP's usability and rich features, regardless of their industry, job type, or background. 【Recommended for】 - Those who recognize the necessity of data analysis but are troubled by the absence of optimal tools. - Those who want to verify whether members of their department can effectively use JMP. - Those who are familiar with the name JMP but do not know what kind of tool it is. For those who do not have JMP, participation is possible using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial
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basic information
【Date and Time】 June 10, 2026 (Wednesday) 14:00–16:30 This is an online seminar where you will operate JMP on your device while watching the instructor's explanations and demonstrations. Details on how to view the seminar will be included in the participation ticket email sent after your application. 【Seminar Text】 A download link for the seminar text (PDF version) will be included in the participation ticket email sent one week before the event. During the seminar, you will refer to this text while operating JMP, so we recommend that you either print the text in advance or prepare two screens using an extended monitor.
Price information
Participation fee: Free *Advance registration is required from the page below https://www.jmp.com/ja/events/live-webinars/hands-on-workshops/2026/06-10-getting-started
Delivery Time
Applications/Examples of results
"Democratization of Data" and Sharing the "Wisdom" of Manufacturing Across the Company - TOTO's New Exploration of "Good Products and Homogeneity" [Challenge] The manufacturing of sanitary ceramics using natural raw materials involves approximately 13% shrinkage during the drying and firing processes. As products become larger and more complex, the challenge is how to maintain "homogeneous" high quality and how to convert the "tacit knowledge" of skilled artisans into "explicit knowledge" to pass on to the next generation. This has been a critical issue at TOTO Ltd., which has a history of over 100 years and is fundamental to the company's manufacturing. [Solution] We introduced "exploratory data analysis" using JMP on the manufacturing data from our advanced Shiga factory. By implementing the first barcode system in the sanitary ceramics factory, we deepened the high yield achieved and quantified the "good product conditions" using visual verification through graph builders, as well as partitioning and cluster analysis, leading to improvements in direct delivery rates and yield. Additionally, we adopted JMP for the foundational education of our "in-house study abroad program" over two years, aiming to enhance company-wide data science skills. [Results] Please check the following page for details! https://www.jmp.com/ja/customer-stories/toto
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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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