Ehime Prefectural Matsuyama Minami HighSchool SSHWebsite  

          
 

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松山南高等学校
Matsuyama Minami High School

愛媛県松山市末広町11-1
 11-1, Suehiro-cho,
    Matsuyama-shi,
       Ehime, JAPAN

 TEL: +81-89-941-5431
 FAX: +81-89-933-3114

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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. 
 

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2021/07/29

Data Marketing Program 8 “Exchange of opinions for policy creation 1”

Tweet ThisSend to Facebook | by kanri

 On Friday, June 18, we had four people from Fuji Corp. Ltd., including Executive Fumikazu ONISHI, and three people from Seki Corp. Ltd., including Information Service Business Promotion Office Manager Masahiko AKAO, who came to our school.  Through ZOOM, we also had three participants from True Data Corp., including Masahiko TORITANI, who is Second Director of Analytics Solutions Department, and President Hirotaka SEKI and Creative Director Shota IZUMI from Seki Corp.  Today, “exchange of opinions 1” was held to prepare measures.
 Based on the contents of the lecture so far, we analyzed “Purchase data of customer types,” “Purchase data of product department for each group’s customer type,” “How many times a day or a week customers visit to purchase.”  Also, based on the data of the monthly sales decomposition tree of the relevant store, we concluded “Sales decomposition tree,” “Steps for actions, thinking 5W1H concept,” “Appeal keyword.”  During this session, we asked advisers some questions to improve our ideas.  Our measures are still on the way, but we announced what we thought today in about three minutes.
 Next time, we will continue to hold an exchange of opinions 2 for the creation of measures.

 I had difficulty reading the data, but thanks to a lot of people, I was able to get the work done. ( 203  Mai WATANABE )
           


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