For Manufacturing Industry Technicians: How to Get Started with Exploratory Data Analysis and Visualization (Osaka 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 Osaka 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. You will learn points to efficiently shape data and create graphs, allowing you 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 the manufacturing industry with interests in data exploration, including those in semiconductors, chemicals, life sciences, and consumer goods. 【Target Audience】 - Individuals involved in manufacturing, such as those in 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 17, 2026 (Friday) 14:00 - 16:00 Venue: TKP Shin-Osaka Business Center Conference Room 3A 5-13-9 Nishinakajima, Yodogawa-ku, Osaka City, 3rd Floor, Shin-Osaka MT Building 1 5-minute walk from JR Tōkaidō Main Line Shin-Osaka Station 4-minute walk from Osaka Metro Midosuji Line Shin-Osaka Station / 6-minute walk from Nishinakajima-Minamigata Station 7-minute walk from Hankyu Minamikata Station Capacity: 50 people (first-come, first-served) 【Program】 First Half: Data Preprocessing and Graphing Functions with JMP Introducing features that greatly enhance the efficiency of tedious data preprocessing and tips for maximizing the use of the graph builder. - Reading Excel and CSV data, table formatting - Convenient data preprocessing functions such as recoding and handling outliers and missing values - Automation of routine processes - Various methods for graphing and customizing graphs Second Half: Data Summary and Basic Analysis with JMP Introducing methods for efficiently and intuitively summarizing data and conducting basic data analysis. - Efficient data reading and summarization - Basic data analysis and visual confirmation of analysis results
Price information
Free (Pre-registration is required from the page below)
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 Homogeneity" [Challenge] The manufacturing of sanitary ceramics using natural raw materials involves a shrinkage of about 13% during the drying and firing processes. As products become larger and more complex, the challenge is how to maintain "homogeneous" high quality and to convert the "tacit knowledge" of skilled artisans into "explicit knowledge" for the next generation. This has been a crucial issue at TOTO Ltd., which has a history of over 100 years and is fundamental to the company's manufacturing. [Solution] An "exploratory data analysis" using JMP was introduced for the manufacturing data from the advanced Shiga factory. By deepening the high yield achieved through the introduction of the first barcode system in the sanitary ceramics factory, we quantified the "good product conditions" using visual verification with graph builders, as well as partitioning and cluster analysis, leading to improvements in direct rates and yield. Additionally, JMP was adopted for the foundational education of the "in-house study abroad program" over two years, aiming to enhance company-wide data science skills. [Result] 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.
