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Statistical Analysis Software Product List

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Bayesian Optimization with the Statistical Analysis Software JMP Pro

Hands-on workshop for manufacturing researchers and engineers: Bayesian optimization using the statistical analysis software JMP Pro conducted with no code.

Bayesian optimization is gaining attention as a method for efficiently developing new products and processes. It is characterized by its ability to efficiently explore optimal conditions through sequential experiments. In this seminar, we will introduce the Bayesian optimization platform included in JMP Pro 19, explain its basic concepts, and then provide hands-on experience with the software. 【Target Audience】 - Individuals involved in product and process development in the manufacturing industry - Those who conduct experiments in their work - Individuals considering or interested in utilizing Bayesian optimization 【Overview】 - Introduction / Overview of Bayesian Optimization - Basic concepts and application scenarios - Operation explanation using JMP Pro 19 - Hands-on session (condition exploration using simulation examples) - Summary and Q&A Participants are requested to bring their own laptops and will operate JMP Pro using a virtual environment (virtual lab). For details on system requirements, please check the application page below. https://www.jmp.com/ja/events/seminars/non-series/2026/09-01-bayes

  • Technical Seminar
  • Statistical analysis
  • Other production and development software and systems
  • Statistical Analysis Software

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Multivariate Statistical Analysis Software [Vector]

Vector is a multivariate statistical analysis software that supports various types of data! It enhances usability and enables data visualization.

"VEKTOR DIREKTOR" is a product that offers ease of use in multivariate statistical analysis software compatible with various types of data and enables data visualization. From data import to prediction and classification, this product allows for effective data analysis through an intuitive workflow. It can execute the analyzed calibration models in real-time, enabling real-time monitoring and the construction of feedback/forward control systems. With comprehensive preprocessing aimed at spectral analysis, it can be comfortably used not only for big data analysis using process parameters but also for chemometrics. By providing only the methods frequently used by customers, it allows for maximizing the use of data with the appropriate tools. 【Features】 ■ Easy data import ■ Effective visualization ■ Comprehensive data preprocessing functions ■ Diverse analysis tools *For more details, please refer to the PDF materials or feel free to contact us.

  • Other analysis software
  • Statistical Analysis Software

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Seminar for Engineers: Practical Use of Data in Manufacturing Industry

Statistical Analysis Software JMP: Quality and Process Improvement Practiced by User Companies (Case Studies)

In the manufacturing industry, while a lot of quality and process data has been accumulated, there are still many cases where its value is not fully utilized. In this seminar, we will introduce case studies from two companies that are working on data analysis and improvement activities using JMP. From Energy With Co., Ltd., we will present efforts to utilize vast amounts of inspection data to connect quality assurance with quality and process improvement. Additionally, Atfields Technology Co., Ltd. will share their approach and key points for discovering issues and leading to improvements through practical data analysis using JMP. This presentation will be given by individuals who are actively engaged in data analysis related to product and technology development using JMP. We look forward to the participation of many people in this seminar, which aims to provide hints for utilizing data in the manufacturing field. 【Target Audience】 - Individuals involved in quality control, quality assurance, production technology, and manufacturing technology in the manufacturing industry - Those who want to utilize quality data and process data to work on quality and process improvements - Anyone interested in data analysis and quality/process improvement using JMP (both JMP users and non-users are welcome)

  • Technical Seminar
  • Statistical analysis
  • Statistical Analysis Software

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Statistical Analysis Software JMP Free Trial Seminar (6/10)

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

  • Business Intelligence and Data Analysis
  • Technical Seminar
  • Statistical Analysis Software

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JMP

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.

  • Production Management System
  • Business Intelligence and Data Analysis
  • Process Control System
  • Statistical Analysis Software

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Statistical Analysis Software JMP Basic Seminar on Experimental Design

For researchers and technology developers in the manufacturing industry! Experiment Design (DOE) that can be started with no code.

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 accommodates 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 can also create experimental designs with constraints on factors. In this seminar, we will introduce these features and how to utilize them while actually creating experimental designs using "Custom Design." 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

  • Technical Seminar
  • Statistical analysis
  • Statistical Analysis Software

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