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When you hear "data science," do you think, "Does it seem difficult?" "What should I do with the data?" "Isn't a large investment necessary?" Indeed, it is true that there are many specialized statistical methods and tools, but even without that knowledge or experience, it is possible to connect the data handled in manufacturing sites to business outcomes. This document is recommended for those who are unsure of where to start and for those who want to leverage data to extract value. Please take a moment to read it. [Contents (partial)] ■ Data Science in Manufacturing - Skills required for data scientists in manufacturing - What is data science? - The value gained from data science in manufacturing ■ Three misconceptions about data science in manufacturing - Starting data science - (1) Does it require a large investment in infrastructure? - (2) Is a large amount of data necessary? - (3) Can't I handle data well? *For more details, please refer to the PDF document or feel free to contact us.
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【Other Published Content】 ■Case Studies ・Case 1: Factor Analysis by Defect Mode ・Case 2: Additional Collection of Passive Parameters ■Summary ・Service Introduction ■Company Overview ・Atfields' Services ・Atfields' Vision for Factory Operations *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Our company is a group of engineers engaged in establishing manufacturing conditions and developing systems necessary for new product development and mass production improvement, primarily in the field of semiconductor manufacturing. We provide consistent support from proposing improvement measures to addressing and following up on issues, by directly confronting phenomena in the field and utilizing statistical methods based on principles and fundamentals. The name of our company, "At Fields," embodies our commitment to contributing to our customers rooted in the field. We promise to be a strong partner in improving our customers' management.