SAS Institute Japan Product Lineup

This is a free in-person seminar held in Nagoya for manufacturing engineers in the Chubu region, using the statistical analysis software JMP. In this seminar, we will cover practical methods for quality control and factor analysis, introducing data-driven problem-solving approaches. We will explain analytical approaches that can be utilized in manufacturing settings, from monitoring quality to investigating causes when problems arise, with demonstrations included. 【Target Audience】 - Quality control personnel in manufacturing - Production technology and process improvement personnel - Those who want to utilize process and quality data - Those who feel challenges in factor analysis when problems occur 【What You Will Learn in This Seminar】 - How to monitor abnormalities in processes and quality - In what situations control charts can be utilized - Methods to identify key factors among numerous process variables - Thinking approaches to narrow down causes based on data ▼Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/10-30

• Technical Seminar
• Statistical analysis
• Other analysis software

In the chemical industry, research and development face complex challenges where many factors, such as the optimization of formulation ratios and the examination of process conditions, influence properties. Additionally, due to constraints on raw material costs and evaluation man-hours, there is a demand to efficiently gain insights with a limited number of experiments. This seminar 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

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

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

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

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 to processing, formatting, graph creation, and automation. 【Target Audience】 - Individuals from any industry who regularly process and graph data using spreadsheet software, etc. - Those who feel burdened by the time required for monthly or weekly report and graph creation. - Those who want to streamline data preparation tasks and spend more time on analysis and reporting. - Those who wish to learn 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 participants can view the instructor's explanations and demonstrations.

• Technical Seminar
• Statistical analysis

In the health and medical field, which is directly connected to people's lives, it is essential to carefully interpret the results of data analysis and utilize them in decision-making. This seminar will first introduce basic analytical methods using JMP 19 and explain the situations in which each method can be applied. Next, we will discuss the thought process for causal interpretations, such as "Did a certain treatment improve the condition?" and explain how to estimate causal effects using JMP Pro 19. - Comparison of results before and after treatment using paired t-tests - Group comparisons using t-tests - Group comparisons considering pre-treatment values using analysis of covariance - Distinguishing between correlation and causation - Estimation of causal treatment effects This seminar will present these basic analytical methods with demonstrations. Those without specialized knowledge of statistics and those unfamiliar with JMP are also very welcome. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/09-11-health-medical-data

• Technical Seminar
• Statistical analysis

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

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

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

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

JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers and includes familiar excellent features such as visual data access, data manipulation, interactive operation methods, a wealth of analytical functions, and scalability, along with numerous advanced techniques. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using various different methods, state-of-the-art modeling techniques, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform sophisticated and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This enables you to more quickly find breakthroughs in problems and anticipate and control the future.

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