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Mining Pharmacy Data Helps to Make Profits

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Abstract

Pharma, a drugstore chain in Japan, has been remarkably successful in the effective use of data mining. From over one tera bytes of sales data accumulated in databases, it has derived much interesting and useful knowledge that in turn has been applied to produce profits. In this paper, we shall explain several interesting cases of knowledge discovery at Pharma. We then discuss the innovative features of the data mining system developed in Pharma that led to meaningful knowledge discovery.

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Authors and Affiliations

  1. Department of Business Administration, Osaka Industrial University, 3-1-1, Nakagaito, Daito, Osaka, Japan

    Yukinobu Hamuro & Katsutoshi Yada

  2. Graduate School of Engineering, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, Japan

    Naoki Katoh

  3. G&G Pharma Inc., 2-177-2, Kitahanada-Cho, Sakai, Osaka, Japan

    Yasuyuki Matsuda

Authors
  1. Yukinobu Hamuro
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  2. Naoki Katoh
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  3. Yasuyuki Matsuda
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  4. Katsutoshi Yada
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Hamuro, Y., Katoh, N., Matsuda, Y. et al. Mining Pharmacy Data Helps to Make Profits. Data Mining and Knowledge Discovery 2, 391–398 (1998). https://doi.org/10.1023/A:1009748731133

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  • DOI: https://doi.org/10.1023/A:1009748731133

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