For Manufacturing Industry Technicians: How to Get Started with Exploratory Data Analysis and Visualization (Kanazawa Event)
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 in-person seminar held in Kanazawa using the statistical analysis software JMP. In this seminar, 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. Participants will learn points to efficiently shape data and create graphs, allowing them to quickly notice trends and relationships in the data. This content is recommended for those who want to start utilizing data, as well as for individuals in manufacturing industries such as semiconductors, chemicals, life sciences, and consumer goods who are interested in data exploration. 【Target Audience】 - Individuals involved in manufacturing industries such as semiconductors, chemicals, life sciences, and consumer goods - Engineers and researchers interested in data exploration and visualization - Those who want to start working on data analysis in their business - Those considering the introduction of JMP
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basic information
Date and Time: July 24, 2026 (Friday) 14:00 - 16:00 Venue: TKP Kanazawa Shinkansen Exit Conference Room 2-1 Horikawa Shinmachi, Kanazawa City, Iemon Kanazawa Building 2 minutes walk from Kanazawa Station, JR Hokuriku Main Line [Program] First Half: For the Manufacturing Industry: How to Start Exploratory Data Analysis Even when using advanced analytical methods and models, insufficient understanding of the underlying data can lead to incorrect conclusions. This session will explain the importance of exploratory data analysis, which is positioned at the initial stage of the analytical workflow, and introduce methods to quickly grasp the overall picture of the data using JMP. Through unique JMP operations such as visualization, filtering, and interactivity between graphs, we will explain how to narrow down hypotheses while verifying them visually. Second Half: Basic Data Preprocessing to Prepare Data for Analysis Many of the data handled in the manufacturing industry are created for the purposes of recording, managing, and sharing, but data that is easy for humans to read is not necessarily in a form that is easy to analyze with statistical tools. This session will introduce basic operations such as data loading, organizing columns and values, and merging and aggregating tables. The goal is to understand the concepts and operations necessary to design data that can be used for analysis, rather than merely reshaping data.
Price information
Free (Pre-registration required from the link below) https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/07-24 Capacity: 50 people (first-come, first-served)
Price range
P1
Delivery Time
※After your application, we will process it on a first-come, first-served basis and send you a confirmation email. One week before the event date, we will send you a ticket email containing information on how to enter.
Applications/Examples of results
"Democratization of Data" and Sharing the "Wisdom" of Manufacturing Across the Company - TOTO's New Exploration of "Good Products and Uniformity" [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 "uniform" high quality and convert the "tacit knowledge" of skilled artisans into "explicit knowledge" to pass on to the next generation. For TOTO Ltd., which has a history of over 100 years, this was a crucial issue at the core of its manufacturing. [Solution] The introduction of "exploratory data analysis" using JMP on the manufacturing data from the 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 yield and overall yield. Additionally, JMP was adopted for the foundational education of the "in-house study abroad program" over two years, aiming to elevate company-wide data science skills. [Results] Please check the following page for more 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.
