SAS Institute Japan Company Profile

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 quantifying 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 point where previous and subsequent values are interrelated (autocorrelation), but by using time series models that take advantage of this characteristic, accurate predictions can be made. You will gain insights into the unique handling techniques of JMP and tips for utilizing business data for forecasting and decision-making. 【Main Content】 Using real time series data as a subject, we will convey the following items with JMP demonstrations: - The benefits and important considerations of analyzing time series data with JMP (date processing, lag functions, etc.) - Visualization of time series data (considerations using line graphs and smoothed lines) - Quantification of factors through regression models - Future forecasting and What-if analysis using time series models (ARIMA, smoothing) - Features and differentiation of JMP's platforms "Time Series Analysis" and "Time Series Forecasting"

To those involved in manufacturing research and technology development, such as in semiconductors, chemicals, life sciences, and consumer goods, as well as manufacturing and quality control personnel. If you feel the limitations of Excel, start with this seminar. This is a free seminar on JMP aimed at manufacturing engineers who understand the need for data analysis but lack usable tools, or who want to utilize statistics but cannot write code. We will focus on preprocessing, visualization, and basic analysis, which are the starting points for data analysis, and we will clearly introduce practical usage methods in a demo format. You will learn points to efficiently shape data and create graphs, allowing you to quickly notice trends and relationships in the data. 【Target Audience】 - Individuals involved in manufacturing, such as in 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 jobs. - Those considering the introduction of JMP. ▼ Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/07-17

To those involved in manufacturing research and technology development, such as semiconductor, chemical, life sciences, and consumer goods sectors, as well as manufacturing and quality control professionals. If you feel the limitations of Excel, start with this seminar. This is a free seminar on JMP aimed at manufacturing engineers who understand the need for data analysis but lack usable tools, or who want to utilize statistics but cannot write code. 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. You will learn how to streamline data formatting and graph creation, and acquire points to quickly notice trends and relationships in the data. 【Target Audience】 - Individuals involved in manufacturing, such as semiconductor, chemical, life sciences, and consumer goods sectors - Engineers and researchers interested in data exploration and visualization - Those who want to start working on data analysis in their jobs - Those considering the introduction of JMP ▼ Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/07-24