Applying data mining on customer relationship management system for leisure coffee-shop industry: a case study in Taiwan

2013 ◽  
Vol 3 (2) ◽  
pp. 129-139 ◽  
Author(s):  
Wen-Yu Chiang
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Management System ◽  
Relationship Management ◽  
Customer Relationship ◽  
Coffee Shop

Decision Support System For A Customer Relationship Management Case Study

2014 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Özge Kart ◽  
Alp Kut ◽  
Vladimir Radevski
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Set ◽  
Naive Bayesian ◽  
Naïve Bayesian ◽  
Management Case Study

<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>

Data Mining as Support for Customer Relationship Management: A Case Study

2014 ◽  
Vol 13 (11) ◽  
pp. 5113-5120
Author(s):  
José Gonalo Dos Santos
Keyword(s):  
Data Mining ◽  
Information System ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Association Rules Discovery ◽  
Data Mining Application

This article describes the data mining application to CRM - Customer Relationship Management. The article starts with an introduction showing the importance of the CRM strategy for the company, after it’s introduced the theoretical about CRM, Knowledge Discovery Database and its stages, with emphasis to the mining stage and concludes with presentation of a case study and the conclusions. For the case study it was developed a prototype of an information system of a bookstore, it was implemented, beyond the conventional functions, the association rules discovery algorithm. The implementation of the data mining technique allowed to the system supply support so that the user knows better the client, becoming possible the application of the strategy of CRM.

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