Case Study of Visualization Engine Implementation: Osaka University Institute of Microbial Disease Research
Introducing examples where it has become easier to set outcome indicators for analyses that were difficult to clarify.
We would like to introduce a case where the "Visualization Engine" was implemented at the Osaka University Microbial Disease Research Institute, which has been engaged in research on microorganisms that are factors in diseases. The organization has faced the challenge of increasing the number of people aspiring to be scientists and those who understand science, as the number of individuals pursuing careers in science and research has been decreasing year by year. With the implementation, when creating an information site, the direction was changed based on the results of surveys and analyses, leading to the development of a Q&A site that meets the needs of the public. [Challenges and Background] - The decreasing number of individuals aspiring to be scientists and researchers, and the need to increase those who aspire to be scientists and understand science. - Considering how to better utilize the feedback from surveys accumulated at the research institute in practical initiatives. *For more details, please refer to the related links or feel free to contact us.*
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【Results】 ■ Analyzed the roots and triggers of interest in science, felt the need to broaden the base to increase opportunities for engagement, and implemented events considering visuals such as characters and prizes, resulting in a doubling of participants. ■ This has also led to a review of the content of courses for high school teachers organized by the research institute. ■ When creating an information site, based on the results of research and analysis, the original concept was adjusted to develop a Q&A site tailored to people's needs. *For more details, please refer to the related links or feel free to contact us.
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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.