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■Introducing Company Furniture Manufacturer ■Background We had been using multiple BI tools for many years and wanted to integrate them in the future. We needed a system that could satisfy the needs of heavy users who are accustomed to data analysis, while also allowing light users, who had previously not engaged with data utilization, to easily access performance data. ■Challenges - We want to consolidate multiple BI tools. - We want to broaden the base of data utilization. - We aim to establish a system where performance data can be widely accessed across the company. ■Effects - Users who are not familiar with data analysis can easily utilize it. - We can flexibly respond to the needs of heavy users who are accustomed to data utilization. - Drill down into the latest data with one click. - Organize and integrate BI tools. ★Implementation record of over 6,100 companies★
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basic information
◇Easy maintenance ◇Provision of a secure data utilization platform ◇Scalable
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Applications/Examples of results
◆Achievements - Manufacturing industry - Financial industry - Food industry - Service industry etc.
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Company information
Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
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