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Analysis discount cards as a basis for the description of the client base of pharmacy

Business Administration
Analysis discount cards as a basis for the description of the client base of pharmacy

Авторы

Каверина Ирина Сергеевна
аспирант, кафедра медицинской и биологической кибернетики
Россия, СибГМУ Минздрава России, НИ ТГУ
kaverinairina@yandex.ru
Фокин Василий Александрович
д.т.н., профессор
Россия, СибГМУ Минздрава России, НИ ТГУ

Аннотация

Purpose - analysis of loyalty cards to identify the customer base structure. Application of SOM method allowed based on RFM predictors to identify three groups of customers with discount cards and identify their main characteristics. It has been shown that they are characterized by stable predictors of RFM. The analysis suggests that the presence of the discount card is the basis for the formation of long-term relationship "customer - Pharmacy", which manifests itself in the commission of permanent purchases consideration pharmacy organization.

Ключевые слова

discount card, pharmacy operations, customer base, SOM method, RFM-analysis, segmentation of customers, demand

Рекомендуемая ссылка

Каверина Ирина Сергеевна, Фокин Василий Александрович. Analysis discount cards as a basis for the description of the client base of pharmacy // Современные технологии управления. ISSN 2226-9339. — #9 (69). Номер статьи: 6903. Дата публикации: 30.09.2016. Режим доступа: https://sovman.ru/en/article/6903/

Authors

Kaverina Irina Sergeevna
graduate student
Russia, Siberian State Medical University Ministry of Health of Russia, TSU NO
kaverinairina@yandex.ru
Fokin Vasiliy Aleksandrovich
Doctor of Technical Sciences, Professor
Russia, Siberian State Medical University Ministry of Health of Russia, TSU NO

Abstract

Keywords

Suggested citation

Kaverina Irina Sergeevna, Fokin Vasiliy Aleksandrovich. // Modern Management Technology. ISSN 2226-9339. — #9 (69). Art. #  6903. Date issued: 30.09.2016. Available at: https://sovman.ru/en/article/6903/

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Библиографический список

  1. Kohonen T., Self-Organizing Maps (Third Extended Edition), New York, 2001, 501 PP.
  2. Lorenz K. RFM Segmentation and Analysis URL: http://blog.bronto.com.
  3. Reichheld F. The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value. Harvard Business School Aress, 1996.
  4. Kaverina I.S. Analysis of the customer base pharmacy by Kohonen self-organizing maps [Analiz klientskoj bazy apteki metodom samoorganizujushhihsja kart Kohonena]. Information technologies in science, administration, social services and medicine. Proceedings of the II International Conference Information Technologies in science, administration, social services and medicine. Part II ed. Berestnevoy O.G., Gerget O.M.; National Research Tomsk Polytechnic University. Tomsk. Publishing house of Tomsk Polytechnic University, 2015, P. 191 – 193.
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