One billion pieces of data can be aggregated in just one second! You can instantly obtain the information you want when you need it.
■Implementing Company Comprehensive Paint Manufacturer ■Background "When utilizing data, the IT department extracted data from the core system and created approximately 600 types of paper-based reports for company-wide distribution. Data aggregation took a lot of time, and it required significant effort from the IT department." ■Challenges - Controlling the aggregation of large amounts of data became difficult, placing a heavy burden on the IT department. - Necessary data could not be extracted quickly, making it impossible to conduct prompt checks. ■Effects - Diversification and multifaceted nature of aggregation and analysis tasks, including thorough management of sales department forecasts and inventory, as well as data verification in the inspection department. - Shortening of aggregation time and reduction of workload for the IT department. - Smoother communication based on the same internal data. ★Implementation record of over 6,100 companies★
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◇Easy maintenance ◇Provision of a secure data utilization platform ◇Scalable
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◆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.