We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Statistical Analysis Software.
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Statistical Analysis Software Product List and Ranking from 10 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Dec 03, 2025～Dec 30, 2025
This ranking is based on the number of page views on our site.

Statistical Analysis Software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Dec 03, 2025～Dec 30, 2025
This ranking is based on the number of page views on our site.

  1. Minitab Tokyo//software
  2. SAS Institute Japan JMPジャパン事業部 Tokyo//software
  3. 日本科学技術研修所 Tokyo//software
  4. クオリテイデザイン Kyoto//Optical Instruments
  5. 5 B7 Tokyo//software
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Statistical Analysis Software Product ranking

Last Updated： Aggregation Period:Dec 03, 2025～Dec 30, 2025
This ranking is based on the number of page views on our site.

  1. Statistical Analysis Software JUSE-StatWorks/V5 日本科学技術研修所
  2. Multivariate Statistical Analysis Software [Vector] クオリテイデザイン
  3. Statistical analysis software "Minitab" Minitab
  4. Case studies of the statistical analysis software "Minitab" in the packaging and logistics field. Minitab
  5. 4 JMP SAS Institute Japan JMPジャパン事業部

Statistical Analysis Software Product List

16～24 item / All 24 items

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Statistical analysis software "Minitab"

Statistical analysis software "Minitab"

Data analysis and predictive modeling! It is a statistical analysis software that enables excellent results and data-driven decision-making. A free trial is also available!

The statistical analysis software 'Minitab' is a powerful statistical tool that anyone can use. Predictive analysis utilizing advanced forecasting algorithms and tools such as CART, Random Forests, TreeNet, and MARS provides better results than conventional regression approaches. By leveraging this powerful module, you can make informed decisions based on a deep understanding of complex datasets, leading to excellent outcomes and data-driven decision-making. 【Solutions to some of these concerns】 ■ Missing data points in observational datasets weaken the statistical power derived from the data, resulting in shallow insights. ■ Common data analysis methods typically prioritize strong indicators, often overlooking valuable insights provided by less powerful indicators, which can lead to an incomplete understanding of the data. *For more details, please download the PDF or feel free to contact us.

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About the certainty and reliability of 95/95.

About the certainty and reliability of 95/95.

Demonstrating reliability standards is an important benchmark in the medical device industry!

You may have seen numbers such as 90/80 reliability, 95/95 reliability, 95/99 reliability, and 99/99 reliability. In the context of certainty and reliability, the first number represents certainty, and the second number represents the degree of reliability. For example, if a process achieves 95/95 certainty and reliability, it indicates that you can be 95% confident that 95% of the units in the population are good. *For detailed content of the article, you can view it in the PDF. Please feel free to contact us for more information.

  • Business Intelligence and Data Analysis

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Seven Ways to Improve Quality in Chemical Manufacturing

Seven Ways to Improve Quality in Chemical Manufacturing

Practical Guide to Achieving Results on the Ground, from Process Stability to Supplier Management

Chemical manufacturing is a very broad field that deals with a diverse range of products, including basic chemicals, resins and synthetic fibers, pesticides and fertilizers, paints and adhesives, as well as soaps and cleaning chemicals. While the characteristics and challenges differ by sector, there is a common goal shared by all manufacturers: to deliver high-quality products that meet customer expectations, regardless of whether the manufacturing process is complex or simple. There are endless opportunities for improvement, but there are important quality challenges that are common to all chemical manufacturers. Here, we present seven key quality improvement points that should be noted regardless of the current situation. Download the PDF summarizing the 7 quality improvement methods that deliver results on the ground for free right now.

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Event/Seminar

Event/Seminar

If you're looking for a seminar for those using SPSS, leave it to us!

Our company hosts a variety of events and seminars, ranging from free product introductions to paid seminars. We offer a free online training course titled "Introduction to SPSS from Scratch" and live online seminars such as "Specialized Statistics Course - Basics of Sample Size and Case Number Design" for clinical research and survey research. Additionally, we hold free consultation days where you can discuss anything related to statistical analysis, SPSS, or data analysis for 30 minutes at no charge. 【Examples of Seminars and Training Courses】 ■ Introduction to SPSS from Scratch ■ SPSS Tips and Tricks Seminar ■ First-Time SPSS Introduction ■ First-Time SPSS AMOS Introduction ■ Introduction to Statistics for Beginners *For more details, please download the PDF or feel free to contact us.

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Preventing cancellations and withdrawals through data analysis.

Preventing cancellations and withdrawals through data analysis.

Provide excellent support to good customers and nurture general customers into good customers!

Switching to competitors' products or canceling subscriptions by our customers can be considered one of the challenges that companies must address in today's environment, where customer mobility is high and the cost of acquiring new customers is extremely high. By utilizing data analysis technologies, including AI/artificial intelligence, it becomes possible to identify customers among current members who are likely to cancel or withdraw, based on trends of past customers who have canceled and customer attribute data. To focus on "customer retention and development," we will allocate the company's management resources according to each customer level, providing strong support to valuable customers, nurturing general customers into valuable ones, and preventing potential churn among at-risk customers. *For more details, please refer to the related links. Feel free to contact us for more information.

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Customer Lifetime Value (CLTV) through Data Analysis

Customer Lifetime Value (CLTV) through Data Analysis

Maximize customer lifetime value! Provide increasing value (profit) to your company.

Customer Lifetime Value (CLV) refers to the total profit (value) generated during the time a customer engages in business with a company. The concept of Customer Lifetime Value Management is not particularly difficult. When a company communicates value to its customers, those customers, driven by loyalty, will increasingly provide value (profit) back to your company. However, in practice, achieving this is not so simple. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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CD Collection of Excel Statistical and Reliability Data Analysis Sheets for Practical Use

CD Collection of Excel Statistical and Reliability Data Analysis Sheets for Practical Use

You can get results immediately with numerical input without entering complex formulas!!

Immediate results from numerical input without complex formulas Collection of Excel Statistical and Reliability Data Analysis Sheets 【Overview】 ○ Part 1: Statistical Data Analysis Methods ○ Part 2: Reliability Data Analysis Methods ○ Part 3: Multivariate Analysis Methods 【Features】 ○ Data analysis techniques can be learned in a short time ○ Immediate results from numerical input ● For other features and details, please download the catalog.

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Acquisition of new customers and customer retention through data analysis.

Acquisition of new customers and customer retention through data analysis.

Implement efficiently at the lowest possible cost! Introducing solutions for acquiring new customers and retaining existing ones.

Maintaining existing customers can be considered one of the keys to business success in today's world, where acquiring new customers is extremely difficult. Additionally, when it comes to acquiring new customers, it is necessary to implement strategies as efficiently and cost-effectively as possible. Data analysis solutions assist in discovering potential customers at a low cost and in finding appropriate approaches to reach those customers. *For more details, you can view the related links. Please feel free to contact us for more information.*

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Promotion optimization through data analysis

Promotion optimization through data analysis

Develop suitable promotions! The more efficiently you conduct them, the better the results you will achieve.

There is a well-known business adage that says, "What cannot be measured cannot be managed." When a company seeks to maximize the value of its promotional efforts, it is necessary to measure them. Moreover, the more efficiently these efforts are conducted, the better the results will be. This is because it allows for adjustments to campaigns and products based on customer responses, ensuring the right combination of products is in the right place without incurring unnecessary logistical costs. *For more details, you can view the related links. Please feel free to contact us for more information.*

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