SAS Institute Japan List of Products and Services

This is a free in-person seminar held in Nagoya for manufacturing industry 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 the manufacturing industry - 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 process and quality anomalies - 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

• Other Software

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

• Other Software

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

• Other Software

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.

• Other Software

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)

• Other Software

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

• Other Software

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

• Other Software

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 it includes many advanced techniques in addition to the excellent features familiar in JMP, such as visual data access, data manipulation, interactive operation methods, rich analytical functions, and scalability. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using numerous different techniques, state-of-the-art modeling methods, 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 advanced and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This allows you to more quickly find breakthroughs to problems and anticipate and control the future.

• BI Tools
• Process Control System

JMP, developed by SAS, has been used as a tool for statistical discovery by scientists, engineers, and people in various industries and government sectors engaged in data exploration. JMP is a desktop software that combines dynamic data visualization with powerful statistical capabilities, processing data in-memory. With interactive and visual JMP, it is possible to gain insights that cannot be obtained from mere tables of numbers or static graphs. In JMP, graphs, statistics, and data are all linked. This allows for deeper exploration of thoughts and leads to groundbreaking discoveries. JMP enables users to perform analyses in succession while staying in the flow of analysis. You can explore while maintaining the flow of the analysis, and there is no need to re-execute commands when new questions arise. Using JMP significantly improves the efficiency of data analysis, making it easy to handle everyday tasks and complex statistical problems, while also effectively communicating the results of the analysis.

• Construction and process management software
• Big Data
• Scientific Calculation and Simulation Software