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4. Data Analysis - List of Manufacturers, Suppliers, Companies and Products

4. Data Analysis Product List

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Mydata Service

A groundbreaking service that solves difficult problems!

"Mydata" is a service that enables data collection and analysis on your own domain. It returns data ownership to the company and provides a sustainable digital marketing infrastructure even as regulatory environments change. Please feel free to contact us if you have any inquiries. 【Overview】 ■ Impact of personal information regulations such as ITP: None (permanently trackable) ■ Data ownership: On the user company's side ■ Data usage: Possible ■ Implementation method: Apply a tag + set up your own domain *For more details, please download the PDF or feel free to contact us.

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Exploring the conditions that bring about the desired results using machine learning.

What separated the good from the bad? Exploring results even with complex combinations of conditions.

We conduct searches for conditions that have affected performance through data analysis. We examine multiple potential methods and present a highly accurate model. Using the results of the analysis based on the data provided, we engage in repeated discussions with our customers to lead to results with greater explanatory power. [Purpose and Background] ■ When inconvenient phenomena occur, it may not be easy to discern relationships through simple correlation analysis or graphical representation. ■ Experimental design is effective when the factors can be anticipated and can be manipulated artificially. *For more details, please refer to the PDF document or feel free to contact us.

  • Company:KRI
  • Price:Other
  • Contract Analysis

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[Explanatory Material] Reasons why Atfields' data analysis can identify causes of defects.

A must-read for managers and personnel in the technical and quality control departments who want to investigate the causes of quality defects through data analysis!

The occurrence of poor quality is caused by some kind of anomaly in the manufacturing process. Furthermore, that anomaly is reflected in the manufacturing data. Therefore, it is possible to identify the causes of defects through the analysis of manufacturing data. However, simply collecting and analyzing data is not sufficient to identify the causes of defects. It is important to devise a data analysis approach tailored to the purpose. This document introduces the concepts of data analysis approaches necessary for identifying the causes of defects, using Atfields' data analysis approach examples. [Contents] ■ Purpose of this document ■ Assumed issues ■ Examples of data analysis approaches ■ Achievements ■ Service introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

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