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Statistical Analysis Software Product List

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Multivariate Statistical Analysis Software VEKTOR

Multivariate Statistical Analysis Software VEKTOR

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

"VEKTOR DIREKTOR" is a user-friendly multivariate statistical analysis software that supports 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.

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Technical Seminar: Practical Use of Data in Manufacturing Industry

Technical Seminar: 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 large amount 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 present case studies from two companies that are working on data analysis and improvement activities using JMP. From Energy With Co., Ltd., we will introduce their efforts to utilize vast 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 manufacturing sites. 【Target Participants】 - Individuals involved in quality control, quality assurance, production technology, manufacturing technology, etc., in the manufacturing industry - Those who want to utilize quality data and process data to work on quality and process improvement - Individuals interested in data analysis and quality/process improvement using JMP (both JMP users and non-users are welcome)

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Statistical Analysis Software JMP Free Trial Seminar (7/29)

Statistical Analysis Software JMP Free Trial Seminar (7/29)

To researchers and technology developers in the manufacturing industry, as well as manufacturing and quality 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. It is an online format where participants can operate JMP on their own while watching a demonstration by the instructor, making it easy for first-time attendees to participate. 【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 aware of 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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JMP is not just for analysis! Ways to utilize data processing, automation, and visualization.

JMP is not just for analysis! Ways to utilize data processing, automation, and visualization.

Doesn't it bother you that 'data processing takes time,' 'you are repeating the same tasks every time,' and 'creating graphs is surprisingly difficult'?

As the importance of data utilization increases, a significant amount of time is spent on tasks such as data processing and graph creation. Particularly in spreadsheet software, errors due to repetitive manual work are often a challenge. JMP not only offers advanced statistical analysis but also has a wealth of features for data preprocessing and visualization. In this seminar, we will introduce methods to streamline data operations, from data loading and processing to graph creation and automation. 【Target Audience】 - Individuals across various industries who regularly process and graph data using spreadsheet software. - Those who find the monthly or weekly report and graph creation cumbersome. - Individuals who want to streamline data preparation tasks and spend more time on analysis and reporting. - Those interested in learning how to utilize JMP not only for analysis but also for data preprocessing and visualization. 【Main Content】 - Loading various tabular data formats - Streamlining data processing and formatting - Automating routine tasks - Creating expressive graphs * Content is subject to change. * This will be a format where you can watch the instructor's explanations and demonstrations.

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"JMP Statistical Analysis Software: Basics of Experimental Design" Hands-on Seminar

"JMP Statistical Analysis Software: Basics of Experimental Design" Hands-on Seminar

For researchers and technology developers in the manufacturing industry! Start with no-code experimental design (DOE).

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 supports 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

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Utilization of JMP's experimental design features in the manufacturing industry.

Utilization of JMP's experimental design features in the manufacturing industry.

For researchers and engineers in the manufacturing industry: How many data points are needed for a t-test? Learning experimental design with the statistical analysis software JMP and techniques for utilizing Bayesian optimization.

JMP is software that not only excels in statistical analysis and graph creation but also has robust features for experimental design. By utilizing experimental design, efficient data collection can be achieved while keeping time and costs down. In this seminar, we will focus on the features of experimental design, specifically the sample size explorer and Bayesian optimization, and present examples of their application in the manufacturing industry in a demonstration format. ▼Details & Registration https://www.jmp.com/ja/events/live-webinars/discovery-seminar-series/2026/10-09

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Utilization of Experimental Design with JMP, a Statistical Analysis Software for the Chemical Industry

Utilization of Experimental Design with JMP, a Statistical Analysis Software for the Chemical Industry

Let's efficiently discover hidden optimal conditions, experimental conditions, and formulation conditions within a limited number of experiments!

In the chemical industry’s research and development, there are complex challenges where many factors, such as the optimization of formulation ratios and the examination of process conditions, affect properties. Additionally, due to constraints on raw material costs and evaluation labor, there is a demand to efficiently gain insights with a limited number of experiments. In this seminar, we will introduce practical applications of Design of Experiments (DOE) using JMP. In the first half, we will explain how to create and optimize experimental designs considering formulation factors and constraints. In the second half, we will present Deterministic Screening Designs (DSD) that can efficiently identify important factors with fewer experiments. 14:00 - 14:45 Practical Application of Experimental Design in the Chemical Industry - Experimental Design Considering Constraints and Formulations 14:45 - 15:30 Connecting Screening and Optimization - Practical Use of Deterministic Screening Designs

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