Application of Bayesian Automated Hyperparameter Tuning on Classifiers Predicting Customer Retention in Banking Industry

2020 ◽  
pp. 83-100
Author(s):  
Akash Sampurnanand Pandey ◽  
K. K. Shukla
Keyword(s):  
Banking Industry ◽  
Customer Retention

scholarly journals An Effective Method to Understand Bank Customer Retention System

2020 ◽  
Vol 8 (6) ◽  
pp. 4279-4283
Keyword(s):  
Risk Analysis ◽  
Banking Industry ◽  
Banking System ◽  
Customer Retention ◽  
Customer Segmentation ◽  
Machine Learning Algorithms ◽  
Time Data ◽  
Retention System ◽  
Real Time Data ◽  
The Given

Banking industry is one of those industries where data is generated every day in large amounts. This data can be used for extracting useful information. Hence it is important to store, process, manage and analyze this data. It helps in making business lucrative. This data helps in making prediction which helps in solving problems that are faced by banks these days. People are constantly working on various aspects of Banking System like fraud detection, Risk Analysis etc. Various Machine Learning algorithms like CNN, ANN etc. have been used in order to study the patterns from such datasets. Here, we are focusing on risk analysis, customer retention and customer segmentation. In this paper, we have implemented classification algorithm, namely Decision Tree, for different aspects. Training of model is done on the given data and testing is done on real time data provided by the user. This study might help various banking systems to gain knowledge about their investment scheme for a particular customer. Thus, the banking companies will have a greater control on their customer and can develop policies that will benefit both the parties.

Identifying the Determinants of Customer Retention in a Developing Country Context

2010 ◽  
Vol 1 (1) ◽  
pp. 69-81 ◽  
Author(s):  
Norizan Mohd Kassim ◽  
Salaheldin Ismail ◽  
Nor Asiah Abdullah
Keyword(s):  
Image Quality ◽  
Service Quality ◽  
Developing Country ◽  
Banking Industry ◽  
Customer Retention ◽  
Retail Banking ◽  
Convenience Sample ◽  
Perceived Service Quality ◽  
Bank Managers ◽  
Managerial Implications

This article investigates how image, perceived service quality and satisfaction determine customer retention in the retail banking industry in Malaysia. Data was obtained using a self-administered survey involving a convenience sample of 134 retail banking customers in Malaysia. The results show that image is both directly and indirectly related to retention through satisfaction while perceived service quality is indirectly related to retention through satisfaction. The article concludes that satisfaction is not the sole determinant of retention in retail banking. Some managerial implications of this research find that the interrelationships between the determinants (image, quality and satisfaction) allow bank managers to better understand the dynamics of customer retention formation.

Impacts of relationships on customer retention in the banking industry

Agribusiness ◽  
1996 ◽  
Vol 12 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Steven D. Hanson ◽  
Lindon J. Robison ◽  
Marcelo E. Siles
Keyword(s):  
Banking Industry ◽  
Customer Retention

scholarly journals IDENTIFYING KEY BARRIERS TO CUSTOMER RETENTION IN BANKING SECTOR OF PAKISTAN

2017 ◽  
Vol 13 (1) ◽  
pp. 133-147
Author(s):  
Zaid Bin Khalid ◽  
Keyword(s):  
Banking Sector ◽  
Banking Industry ◽  
Customer Retention ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Top Managers ◽  
Time Period ◽  
The Matrix ◽  
Cross Reference ◽  
Practical Implications

Objectives- The purpose of this research is to find out the barriers to customer retention in banking sector of Pakistan. This paper aims to enhance the understanding about the barriers that influence the customer retention in banking organizations. Methodology – A qualitative mathematical based technique called interpretive structural modeling (ISM) is employed to identify the barriers and to understand interaction and mutual relationships among them. Findings – Seven barriers to customer retention are identified through extensive literature review and subsequent opinions of experts from banking industry and academia. Contextual relationships have been established and ISM based model is developed to represent the mutual interaction among diagnosed barriers. The matrix cross-reference multiplication applied to a classification (MICMAC) analysis has also been carried out to classify the nature of barriers according to their dependence and driving power. Practical Implications – The adoption of ISM based hierarchical model in this study would help in understanding the barriers and provide useful insights to top managers and policymakers of banking sector who want to focus and minimize these barriers in order to retain their customers for a longer time period.

Identifying the Determinants of Customer Retention in a Developing Country Context

2012 ◽  
pp. 160-174
Author(s):  
Norizan Mohd Kassim
Keyword(s):  
Image Quality ◽  
Service Quality ◽  
Developing Country ◽  
Banking Industry ◽  
Customer Retention ◽  
Retail Banking ◽  
Convenience Sample ◽  
Perceived Service Quality ◽  
Bank Managers ◽  
Managerial Implications

This chapter investigates how image, perceived service quality, and satisfaction determine customer retention in the retail banking industry in Malaysia. Data was obtained using a self-administered survey involving a convenience sample of 134 retail banking customers in Malaysia. The results show that image is both directly and indirectly related to retention through satisfaction, while perceived service quality is indirectly related to retention through satisfaction. The chapter concludes that satisfaction is not the sole determinant of retention in retail banking. Some managerial implications of this research find that the interrelationships between the determinants (image, quality, and satisfaction) allow bank managers to better understand the dynamics of customer retention formation.

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