[Case Study of Visualization Engine Implementation] Central Japan Expressway Company Limited
Achieving zero man-hours through the automation of risk detection and sharing. Building an environment that can immediately respond to new initiatives and reflecting this in efforts such as repairs and improvements.
To Chūnihon Expressway Company, which is responsible for the operation of service areas, we would like to introduce a case where the "Visualization Engine" was implemented. The company needed to establish a system that automatically detects related controversies and notifies stakeholders in a way that is easily understandable to anyone, without allocating human resources for social media monitoring. With the implementation, the burden of having staff monitor social media daily, classify, and report manually, even on their days off, has been completely eliminated. Additionally, by building the automatic detection system, the company can now respond to an increase in new monitoring and reporting requirements with minimal effort. [Challenges and Background] - There was a growing need for real-time situational awareness instead of post-event reporting. - Manual monitoring required about an hour of resources each day. - There was a need to build a system that automatically notifies stakeholders without using human resources and in a way that is easily understandable to anyone. *For more details, please refer to the related links or feel free to contact us.*
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【Results】 ■ Achieved zero man-hours through automation of data collection, monitoring, classification, and reporting ■ Able to respond immediately to the addition of new monitoring content with minimal man-hours ■ Successfully detected incidents such as failures from tweets and initiated repair responses *For more details, please refer to the related links or feel free to contact us.
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As a company that continues to create added value from all kinds of information, we have been providing cloud solutions centered around technologies such as 'text mining' and 'data mining' since our establishment in 2006. We visualize big data, such as customer voices, customer data/purchase data, and HR information, and have the power to provide insights.