Introduction of a case where the output became easier to read and understand, resulting in an increase in access to the internal portal.
We would like to introduce a case where Bandai Co., Ltd. implemented the "Visualization Engine." Until now, we had only been using BI tools to check quantitative data, but to understand the details of where product defects were occurring, we had to read through each text one by one. Additionally, with a large number of items, classifying the symptoms of defects and understanding their content required an enormous amount of time and effort, which was a challenge. With the implementation, it became easier to predict fluctuations in product inquiries, allowing us to anticipate necessary responses in the future and communicate with related departments earlier, resulting in smoother collaboration. [Challenges and Background] - With the conventional BI tools, it was necessary to read through each detail to grasp the specifics of defects, which hindered sufficient analysis due to issues of effort and labor. - There was a need to enhance VOC activities to connect VOC to improvements in products and services. *For more details, please refer to the related links or feel free to contact us.*
Inquire About This Product
basic information
【Results】 ■ By making it easier to grasp changes and signs in inquiries, we were able to quickly communicate anticipated responses to relevant departments, expand Q&A from the analysis of inquiry content, and achieve a reduction in inquiries. ■ As a result of making outputs more visually appealing and easier to understand, the number of accesses to the internal portal has increased. *For more details, please refer to the related links or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the related links or feel free to contact us.
catalog(1)
Download All CatalogsCompany information
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.