Effectiveness of Customer Relationship Management in Banking Sector – A Study with Special Reference to State Bank of India in Mysore District

2021 ◽  
Author(s):  
Dr. K Deepak Kalasaiah
2012 ◽  
Vol 2 (12) ◽  
pp. 80-82
Author(s):  
P.B REDDY P.B REDDY ◽  
◽  
SHALINI. CHENNAMARAJU SHALINI. CHENNAMARAJU ◽  
Dr MORUSU SIVA SANKAR

1970 ◽  
Vol 1 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Babin Pokharel

DOI: http://dx.doi.org/10.3126/bj.v1i1.5140 Banking Journal Vol.1(1) 2011: 19-28


2021 ◽  
Vol 2 (6) ◽  
pp. 2136-2142
Author(s):  
Dennis Rydarto Tambunan ◽  
Heru Kreshna Reza ◽  
Melly Susanti ◽  
Sabri

The importance of Customer Relationship Management (CRM) to help businesses acquire new customers, retain existing ones and maximize their lifetime value. This paper discusses the role of Customer Relationship Management in 4 bank units and the need for Customer Relationship Management to increase customer value by using several analytical methods in CRM applications. This paper attempts to identify the technological revolution witnessed by commercial banks and to what extent it has benefited banks to build better customer relationship management (CRM) services between public sector banks and private sector banks. The purpose of this study is 1) to analyze customer opinions about bank CRM in relation to service quality management. 2) To find out the customer's opinion about the bank's CRM on customer relationship management. This study uses primary and secondary data. Primary data will be collected by distributing structured questionnaires to conventional banks (Private and Government). Secondary data will be collected from records published by the financial services authority (OJS), standard textbooks and published research papers, and through web information. The primary data required will be collected from 6 banks in Bengkulu. In addition to collecting information from banks, it also collects information from the general public who have bank accounts.  


2012 ◽  
Vol 02 (01) ◽  
pp. 01-08
Author(s):  
Oladele Olajide Patrick

The banking sector in Nigeria went through various reforms in the last few years and this has resulted in stiff competition in the industry. Based on this the few surviving ones are making concerted efforts to stabilize in the ever changing competitive and uncertain business environment. More importantly, the banks have come to realized that building long-term relationship with their customer is sine qua non to achieving sustainable competitive advantage. This study examines the link between customer relationship management and performance on the banking sector. The researcher built a model using continuous product development to moderate the effect that CRM has on bank performance. Data using primary source was collected from the financial market through a cross sectional survey in Ekiti State, Nigeria. Two pretests of the questionnaire were performed for validity and reliability assessment. Based on extensive review of literature, a 54 item capturing all major sub processes in implementing CRM was evaluated. The Data collected were fitted into regression model. The result indicates that CRM implementation processes are associated with better firm performance more importantly when it is moderated by continuous product development.


Author(s):  
Özge Kart ◽  
Alp Kut ◽  
Vladimir Radevski

<span lang="EN-US">Data mining is a computational approach aiming to discover hidden and valuable information in large datasets. It has gained importance recently in the wide area of computational among which many in the domain of Business Informatics. This paper focuses on applications of data mining in Customer Relationship Management (CRM). The core of our application is a classifier based on the naive Bayesian classification. The accuracy rate of the model is determined by doing cross validation. The results demonstrated the applicability and effectiveness of the proposed model. Naive Bayesian classifier reported high accuracy. So the classification rules can be used to support decision making in CRM field. The aim of this study is to apply the data mining model to the banking sector as example case study. This work also contains an example data set related with customers to predict if the client will subscribe a term deposit. The results of the implementation are available on a mobile platform. </span>


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