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. This process took a lot of time for data aggregation and required significant effort from the IT department." ■Challenges - It became difficult to control the aggregation of large amounts of data, placing a heavy burden on the IT department. - Necessary data could not be extracted quickly, making it hard to conduct prompt checks. ■Effects - Diversification and multi-faceted development of aggregation and analysis tasks, including thorough management of sales department forecasts and inventory management, 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. ★Over 6,100 successful implementations★
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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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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 a system 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 of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.