SAS Institute Japan Product Lineup

This seminar will focus on engineers in the manufacturing industry and will discuss data utilization, specifically practical approaches to factor exploration and predictive model building using JMP products. Analysis does not yield optimal results on the first attempt; it is crucial to enhance accuracy through repeated trial and error in data preparation and model building. In particular, the quality of data preparation, such as preprocessing and feature creation, significantly influences the results, and JMP allows for efficient progress while visualizing the process. Using publicly available data for model building, we will introduce a series of processes from preparation, including visualization, preprocessing, and feature creation, to factor exploration through correlation and regression analysis, predictive model building (such as neural networks and random forests), and extraction of important factors, all through trial and error. We will also showcase some lesser-known convenient features of JMP during the seminar. We encourage you to participate in this opportunity. Target Participants: - Engineers who want to conduct quality improvement and factor analysis based on data. - Those who want to apply the entire flow of predictive model building, including preprocessing and feature creation, in practice. - Individuals who wish to efficiently build and evaluate factor exploration and machine learning models using JMP products.

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

This is a free in-person seminar held in Tokyo for manufacturing industry engineers, 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 - Ways to narrow down causes based on data ▼Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/12-09

• Technical Seminar
• Statistical analysis
• Other analysis software

Aren't you only using the data obtained from experiments and prototypes to create figures for reports? In this seminar, we will confirm the features and basic operations of JMP's Graph Builder, and using data typically acquired in research, development, and design departments as examples, we will create commonly used graphs such as mean values with error bars, box plots, and scatter plots with regression lines. Furthermore, we will demonstrate how to utilize features like group splitting, local data filters, and column switchers, which are difficult to achieve in spreadsheet software like Microsoft Excel, to facilitate new discoveries by switching conditions. We will also explain the procedures for customizing graphs and producing high-quality outputs. The content is designed to be understandable even for those who have never used JMP or are beginners. Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/10-29-graph-builder

• Statistical analysis
• Other research software
• Technical Seminar

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

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

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

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