Improving business operations through the systematization of existing Excel! Introducing a case study of the "Progress Status Management System."
At a major trading company, there were original files for each project, making manual updates a cumbersome task. Therefore, they selected 'BI21' because it allows for "automatic data import with one click, reducing the hassle of manual updates." After implementation, data entered via handheld devices is automatically aggregated, and it became possible to automatically create quotation request forms. 【Challenges Before Implementation】 ■ The existence of original files for each project made manual updates a cumbersome task. ■ Maintenance was impossible and very difficult when Excel became corrupted. ■ Human errors were likely to occur during the update process, leading to poor work efficiency. ■ There was a cumbersome process of checking the arrival of parts at the logistics company on paper and transcribing it into Excel for reporting. *For more details, please refer to the PDF document or feel free to contact us.
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【Selection Points】 - Automatic data import is possible with one click, reducing the hassle of manual updates. - Since data import does not involve human intervention, it helps reduce human errors. - There is no concern about file corruption as data management is not done in Excel, and maintenance can be easily performed. - Data entered by logistics companies using handheld devices is automatically updated, reducing the workload on-site. *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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We provide a one-stop service that is not specialized in any specific field, utilizing the foundational technologies cultivated through years of infrastructure system and cloud system construction and operation, from the latest infrastructure construction and data design level to the design of IoT devices and solutions, BI tools for data visualization, and the design of machine learning and deep learning environments at the theoretical and algorithmic levels.