SAS Institute Japan Product Lineup

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

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

Many of the data handled by companies, such as sales, inventory levels, and sensor measurements, are "time series data" recorded over time. The situations in which such data is handled have been increasing in recent years. In this seminar, we will use real time series data as a subject to explain everything from the visualization of time series data to the quantification of factors through regression, forecasting using time series models, and What-if analysis, with demonstrations included. When it comes to regression, it is important to pay attention to the relationship between preceding and succeeding values (autocorrelation), but by using time series models that leverage this characteristic, accurate predictions can be made. You will gain tips unique to JMP on how to handle this data and insights on how to utilize business data for forecasting and decision-making. 【Target Audience】 ■ Individuals in sales, marketing, and planning departments who handle business data such as sales, demand, and inventory. ■ Individuals in manufacturing and technical departments who handle time series data such as sensor, production, and quality data. ■ Those interested in analyzing time series data and looking to learn more. 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 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

• 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