Customer Churn Prediction in Banking Industry Using Power Bi

Awe M. Oluwatoyin; Sanjay Misra; John S. Wejin; Abhavya Gautam; Ranjan Kumar Behera; Ravin Ahuja

doi:10.1007/978-981-19-1142-2_60

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Customer Churn Prediction in Banking Industry Using Power Bi

Awe M. Oluwatoyin Sanjay Misra John S. Wejin Abhavya Gautam Ranjan Kumar Behera Ravin Ahuja

Year: 2022 Lecture notes in networks and systems Pages: 767-774 Publisher: Springer International Publishing

DOI: 10.1007/978-981-19-1142-2_60

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Keywords:

Churning Attrition Decision tree Customer retention Computer science Relevance (law) Key (lock) Predictive modelling Predictive power Logistic regression The Internet Customer intelligence Data mining Machine learning Service (business) Marketing Business Service quality World Wide Web Computer security

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Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Consumer Retail Behavior Studies

Social Sciences → Business, Management and Accounting → Marketing

Customer Churn Prediction in Banking Industry Using Power Bi

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Citation History

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