about Matsuyama Minami High School

　Ehime Prefectural Matsuyama Minami High School has been designated as a Super Science High School (SSH) by Japan's Ministry of Education, Culture, Sports, Science and Technology since 2002. We have been researching and developing programs for science education in cooperation with universities and research institutes. We try to bring fascinating and inspiring science activities not only to our students but also to the local community. 　Each of our students does a great deal of individual research, and because of their strenuous effort, they have won prizes in various kinds of science fairs.

about SSH

　The SSH project was started in 2002 as part of the "Scientific Literacy Enhancement Initiative" by the Ministry of Education, Culture, Sports, Science and Technology. It aims to develop student abilities and develop global leaders with great ambitions in the field of science. And technology. As of 2021, there are 218 high schools designated as SSH, including ours. 

New topic

the 13th program for data marketing

2021年10月5日 16時12分

On August 31st (Tuesday)　the 13th program for data marketing was held online at school.
　Three people from True Data Analytics Solutions, including Deputy Director Masahiko KARASUDANI, two people from FUJI Corp. Ltd., including Chief Executive Fumikazu ONISHI, and three people from SEKI Corp. Ltd., including President Hiroshi SEKI joined us online.
　Masahiko KARASUDANI and Koshiro NOMURA from True Data Analytics Solutions Division gave us a lecture: "Explanation for Final Announcement".
Its contents are following.
　①The Outline of the implemented measures
　②Explanations of implemented measures and usage of the sales floor
　③To analyze factors on effectiveness and policies, of target products, the measures to the whole store, and target customer types using decomposition tree
　④Conclusion and Improvements in measures
　⑤How do we feel about the 7-month effort？
　Toward the final announcement, we try to summarize and explain the outline of the implemented measures and the sales floor as presentation.  After that, our analysis of the purchase data will be completed.  In early October, regarding the measures taken by the students, we will conduct factor-analysis of the whole store, target customer types, and target products using those data.  I'm looking forward to seeing how such measures taken by the students have changed its sales.  Next time, we will summarize and explain the data.

　I'm glad the measures ended safely.  Based on what I heard of this lecture, I would like to do my best to analyze them. (207 Masahiro YAMANE)