Multilayer Perception Neural Network Model to Improve Customer Relationship Management in Electronic Transaction Expansion in Banking Sector

2013 ◽  
Vol 2 (2) ◽  
pp. 10-22
Author(s):  
Bhaskar Reddy Muvva Vijay ◽  
Gharib Isamail Gharib Al-Matroushi
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Customer Relationship Management ◽  
Neural Network Model ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship ◽  
Multilayer Perception

Customer Relationship Management in Banking Sector

2012 ◽  
Vol 2 (12) ◽  
pp. 80-82
Author(s):  
P.B REDDY P.B REDDY ◽  
◽  
SHALINI. CHENNAMARAJU SHALINI. CHENNAMARAJU ◽  
Dr MORUSU SIVA SANKAR
Keyword(s):  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship

scholarly journals Customer Relationship Management: Related Theories, Challenges and Application in Banking Sector

1970 ◽  
Vol 1 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Babin Pokharel
Keyword(s):  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship

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

scholarly journals Customer Relationship Management In Banking Sector Case Study Of Conventional Banks

2021 ◽  
Vol 2 (6) ◽  
pp. 2136-2142
Author(s):  
Dennis Rydarto Tambunan ◽  
Heru Kreshna Reza ◽  
Melly Susanti ◽  
Sabri
Keyword(s):  
Customer Relationship Management ◽  
Financial Services ◽  
Customer Value ◽  
Banking Sector ◽  
Relationship Management ◽  
Secondary Data ◽  
Customer Relationship ◽  
Primary Data ◽  
Public Sector Banks ◽  
Conventional Banks

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.  

scholarly journals Prediction of customer behaviour through datamining assets

2009 ◽  
Vol 57 (3) ◽  
pp. 43-54
Author(s):  
Naděžda Chalupová
Keyword(s):  
Neural Network ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Marketing Strategies ◽  
Customer Relationship ◽  
Business Managers ◽  
Correct Decision ◽  
Commercial Success ◽  
Customer Behaviour ◽  
Managerial Decisions

Business managers accounting for commercial success or non-success of the organization have to gain knowledge needful for correct decision acceptance. These knowledge represent sophisticated information hidden in enterprise data. One possibility, how to extract mentioned knowledge from data, is to use so-called datamining assets.The paper deals with an application of chosen basic methods of knowledge discovering in da­ta­ba­ses for area of customer-provider relation and it presents, how to avail acquired knowledge as basis of managerial decisions leading to improving of customer relationship management. It solves prediction, whose aim is, on the basis of some attributes of exploring objects, to predict future be­ha­viour of objects with these attributes. This way acquired knowledge, as the output of prediction, then can markedly help competent enterprise manager with planning of marketing strategies, for example so-called cross-selling and up-selling. The contribution describes a whole operation of available data processing: from its purifying, over its preparation for mining task, to self processing by the help of SAS Enterprise Miner tool. Regression analysis, neural network and decision tree, whose principles are briefly explained in this paper too, were used for knowledge mining. The estimation of customer behaviour was tested by two mining task varying in attribute using and in categories number of one of predicive attributes. The results of these two tasks are confronted by the help of prediction fruitfulness charts.

scholarly journals Development of Customer Relationship Management System in E-Commerce Based on BP Neural Network

2012 ◽  
Vol 6-7 ◽  
pp. 995-999
Author(s):  
Mei Ling Zhou ◽  
Jing Jing Hao
Keyword(s):  
Neural Network ◽  
Customer Relationship Management ◽  
Bp Neural Network ◽  
Management System ◽  
Customer Value ◽  
Relationship Management ◽  
Customer Relationship ◽  
Feed Forward Network ◽  
Neural Network Algorithm ◽  
Hidden Layer

BP neural network can learn and store a lot of input - output mode mapping, without prior reveal the mathematical equations describe the mapping. The model based on BP neural network algorithm is constituted by an input layer, output layer and one hidden layer, three-layer feed forward network. CRM is to acquire, maintain and increase the methods and processes of profitable customers. The core of CRM is the customer value management, customer value; it is divided into the de facto value, potential value and model value. The paper presents development of customer relationship management system in e-commerce based on BP neural network. The experiment shows BP is superior to RFCA in CRM.

Sign in / Sign up

Export Citation Format

Share Document