METHODOLOGICAL IMPLEMENTATION OF CRISP-DM IN FINTECH SERVICES

Authors

  • Vasil Marchev UNWE
  • Angel Marchev, Jr University of National and World Economy

Keywords:

fintech industry, CRISP-DM, individualization, data analyses

Abstract

The financial markets are undergoing a significant transformation due to the changing behavior of individual investors. This shift is moving away from traditional investment options towards more complex financial products. Advancements in technology and a greater understanding of investments have contributed to this change by diminishing trust in conventional financial institutions. The integration of big data analytics within FinTech is essential for understanding client behavior and personalizing services to meet individual needs. By employing methodologies such as the Cross Industry Standard Process for Data Mining (CRISP-DM), FinTech firms can systematically extract insights from data, ultimately enhancing customer satisfaction through tailored investment strategies. The CRISP-DM framework outlines critical stages for effectively managing the complexities of data-driven decision-making in the financial sector. This paper discusses the methodological implementation of CRISP-DM in the FinTech industry, highlighting its role in optimizing service delivery and improving customer engagement through data analysis and strategic modeling.

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Published

2025-06-27

How to Cite

Marchev, V. and Marchev, Jr, A. (2025) “METHODOLOGICAL IMPLEMENTATION OF CRISP-DM IN FINTECH SERVICES”, Journal of Management Sciences and Applications, 4(1), pp. 58–71. Available at: https://jomsa.science/index.php/jomsa/article/view/101 (Accessed: 9 July 2025).

Issue

Vol. 4 No. 1 (2025): Journal of Management Sciences and Applications (JOMSA)

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Articles

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