An empirical study for customer relationship management in banking sector using machine learning techniques
by Guruprasad Dash; Bhagirathi Nayak
International Journal of Computer Applications in Technology (IJCAT), Vol. 68, No. 3, 2022

Abstract: Customer creation is necessary for a new bank and as well as retention is an existing bank that is more productive and cost-effective. Indian banks' CRM aims to develop and retain their customers and to view a whole organisational structure as a fully integrated attempt to seek, build, and meet the needs of customers. The deposit and innovation capacity is extremely low in rural areas, but immense in urban regions because the majority of the potential product scheme is well known. It was assumed that analysis and CRM in the banking sector were appropriate in these circumstances. The study is an analytical survey using Machine Learning (ML) techniques aimed at investigating the technological progress faced by commercial banks, and how far banks have gained to create a better performance of the financial sector of public and private sector banks.

Online publication date: Thu, 18-Aug-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com