SAS Institute Japan Product Lineup

This is an in-person seminar on the statistical analysis software JMP. [Overview] Targeted mainly at engineers in the manufacturing industry, this seminar will focus on data utilization, explaining practical approaches to factor exploration and predictive model building using JMP products. Analysis does not yield optimal results in one go; it is important 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 impacts the analysis results. JMP allows for efficient progress while visualizing these processes. In this seminar, we will introduce a series of processes from data visualization, preprocessing, and feature creation to factor exploration through correlation and regression analysis, as well as predictive model building (such as neural networks and random forests), all through trial and error. We will also explain how to extract important factors from the constructed models. Through examples of regression data predicting material strength and classification data determining good and defective products, participants will gain an understanding of how to conduct analysis relevant to practical applications.

• Technical Seminar

This is an online seminar for the statistical analysis software JMP. 【Overview】 In the manufacturing industry, there are many situations where quality and process decisions are made based on measurement data. On the other hand, it is not uncommon to feel troubled by questions such as, "Can I trust these measurement results?" and "How should I interpret the results of statistical tests?" This seminar is aimed at beginners and will introduce concepts that are useful for decision-making in the field regarding Measurement System Analysis (MSA) and statistical testing, without delving into the details of formulas and theories. We will present examples of analysis using JMP while looking at the JMP interface, covering points such as: - Why it is necessary to be aware of MSA - Key points to consider when reviewing test results Even those who do not have a JMP license can take advantage of a 30-day free trial to test the features. Trial application: https://www.jmp.com/ja/download-jmp-free-trial

• Technical 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. 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