SUPPORTING DECISION-MAKING IN THE SEGMENTATION OF TELECOMMUNICATIONS COMPANY CUSTOMERS USING SPECIALIZED SOFTWARE

Олександр Іващенко; Сергій Федін

doi:10.30890/2567-5273.2025-41-01-002

Автор(и)

Олександр Іващенко National Transport University, Ukraine https://orcid.org/0009-0007-5470-9137
Сергій Федін National Transport University, Ukraine https://orcid.org/0000-0001-9732-632X

DOI:

https://doi.org/10.30890/2567-5273.2025-41-01-002

Ключові слова:

segmentation, clustering, Kohonen self-organizing map, software application, STATISTICA

Анотація

The article presents the results of segmentation of the customer database of a telecommunications company, performed on the basis of cluster analysis of business data using the Kohonen self-organizing maps method. To increase the efficiency of the analysi

Посилання

Customer Segmentation in the Telecom Industry. URL: https://www.subex.com/glossary/customer-segmentation-in-the-telecom-industry/

Shumeiko, O. O., & Sotnik, S. L. (2012). Intelligent Data Analysis (Introduction to Data Mining): Textbook. Dnipropetrovsk: Belaya E. A. – 212 pp.

Analysis of the Customer Base: Identifying Potential Opportunities. URL: https://blog.lp-crm.biz/uk/crm-system/analiz-klientskoj-bazy-nahozhdenie-potenczialnyh-vozmozhnostej/

Kotler, F., Keller, K. L., Pavlenko, A. F., et al. (2008). Marketing Management: Textbook. First Ukrainian adapted edition. Kyiv: Himdjest – 720 pp.

Power, D. J. (2002). Decision Support Systems: Concepts and Resources for Managers. Quorum Books.

Wedel, M., & Kamakura, W. A. (2000). Market Segmentation: Conceptual and Methodological Foundations (2nd ed.). Boston: Kluwer Academic Publishers.–382 pp.

What is Market Segmentation and How to Use It in Marketing. URL: https://sendpulse.ua/blog/what-is-market-segmentation/

Jain, A. K. (2010). Data clustering: 50 years beyond k-means. Pattern Recognition Letters, Vol. 31, No. 8, pp. 651–666. DOI: 10.1016/j.patrec.2009.09.011

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson Education. – 785 pp.

Oliynyk, S. V., & Boyko, B. M. (2023). Comparison of clustering methods for creating target customer groups in a dataset. Scientific Bulletin of NLTU of Ukraine, Vol. 33, No. 5, pp. 77–83. DOI: 10.36930/40330510.

Hand, D., Mannila, H., & Smyth, P. (2001). Principles of Data Mining. Cambridge, Massachusetts: MIT Press. – 546 pp.

Farahani, F. J., & Tabibian, S. (2024). Innovative customer segmentation based on multi-step sequential deep clustering in the telecommunication industry. Proceedings of the 14th International Conference on Computer and Knowledge Engineering (ICCKE), pp. 1–6. DOI: 10.1109/ICCKE65377.2024.10874819.

Twomey, P., & Cadman, R. (2002). Agent based modeling of customer behavior in the telecoms and media markets. Info, Vol. 4, No. 1, pp. 56–63. DOI: 10.1108/14636690210426640.

Sarkar, M., Roy, P. A., & Chowdhury, F. R. (2024). Optimizing marketing strategies with RFM method and k-means clustering-based AI customer segmentation analysis. Journal of Business and Management Studies, Vol. 6, No. 2, pp. 54–60. DOI: 10.32996/jbms.2024.6.2.5.

Gomes, M. A., & Meisen, T. (2023). A review on customer segmentation methods for personalized customer targeting in e-commerce use cases. Information Systems and e-Business Management, Vol. 21, pp. 527–570. DOI: 10.1007/s10257-023-00640-4.

Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, Vol. 43, No. 1, pp. 59–69. DOI: 10.1007/BF00337288.

Schreck, T., Bernard, J., von Landesberger, T., & Kohlhammer, J. (2009). Visual cluster analysis of trajectory data with interactive Kohonen maps. Information Visualization, Vol. 8, No. 1, pp. 14–29. DOI: 10.1057/ivs.2008.29.

Ultsch, A., & Vetter, C. (1994). Self-organizing feature maps versus statistical clustering methods: A benchmark. Philipps University of Marburg, p. 15.

Wehrens, R., & Buydens, L. (2007). Self- and super-organizing maps in R: The kohonen package. Journal of Statistical Software, Vol. 21, No. 5, p. 19.

StatSoft, Inc. Electronic Statistics Textbook. URL: https://www.freetechbooks.com/electronic-statistics-textbook-t932.html

Self-Organizing Maps Explained. URL: https://medium.com/%40becaye-balde/self-organizing-maps-explained-9bb88b9a620a/