Enhancement Customer Loyalty Via Data Mining Techniques in Yemeni Banks: Review Study

https://doi.org/10.59628/jast.v2i4.1059

Authors

  • Sultan Yahya AL-SULTAN Department of Information Technology, Faculty of Computer Sciences and IT, University of Sana’a, Sana’a, Yemen
  • Ibrahim Ahmed Al-Baltah Department of Information Technology, Faculty of Computer Sciences and IT, University of Sana’a, Sana’a, Yemen

Keywords:

Artificial Intelligence, Enhancement Customer Loyalty , Customer Churn , Banking , Intelli- gent Model, Yemen

Abstract

Artificial intelligence (AI) significantly enhances our daily lives, driving many service and financial institutions to seek optimal utilization of it. This paper addresses the problem, which is the inability of some institutions, such as banks, to satisfy customers using outdated methods and solely focusing on acquiring new customers instead of prioritizing customer retention that would be more effective and profitable to them. The main object of this paper is to enhance the quality of service in banks by proposing an intelligent model that leverages customer data to improve services and foster customer loyalty. This paper was motivated by the limited research on customer churn in Yemen and the scarcity of simple intelligent models globally. The methodology employed in this paper includes an in-depth analysis of existing literature on customer churn. Finally, this paper provides a comprehensive and concise conclusion based on the findings.

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The Proposed Model

Published

2024-09-02

How to Cite

AL-SULTAN, S. Y., & Al-Baltah, I. A. (2024). Enhancement Customer Loyalty Via Data Mining Techniques in Yemeni Banks: Review Study. Sana’a University Journal of Applied Sciences and Technology , 2(4), 348–354. https://doi.org/10.59628/jast.v2i4.1059

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