Introducing key points for implementing data analysis that leads to DX in the manufacturing industry, along with examples of data analysis utilizing AI!
As the digitalization of the manufacturing industry progresses, more companies are working on data collection using systems and IoT. However, simply collecting data is not enough to achieve DX in manufacturing; it is crucial to analyze the data and effectively apply the insights gained to actual business operations. In this article, we will introduce key points for implementing data analysis that leads to DX in manufacturing, as well as examples of data analysis utilizing AI. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*
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Since our founding in 1961, we have consistently supported our customers in improving productivity and reducing costs. By offering multi-vendor solutions that are not tied to specific manufacturers and a wide range of products from office supplies to IT equipment, we promote one-stop solutions and one-stop support. ~ "Supporting the realization of 'actual operation'" ~ Getting a system up and running and ensuring that it delivers the intended benefits is never easy. At Otsuka Shokai, our specialized organization "Manufacturing SP," which is well-versed in solving manufacturing industry problems, integrates development, promotion, consulting, sales, and support to work together with our customers to achieve true actual operation. Rather than setting the goal as "getting it operational," we focus on "achieving the objectives and goals at the time of system implementation," and by executing the operational plans we have developed for that purpose, we aim to provide support that leads to "actual operation." This is Otsuka Shokai's "actual operation philosophy." We identify the problems and challenges our customers face and work together with them to realize new systems (innovation) utilizing IT.