Critical Success Factors in Knowledge Discovery and Data Mining Projects

2008 ◽  
pp. 50-55
Author(s):  
Jayanti Ranjan ◽  
Vishal Bhatnagar

The paper presents the Critical success factors for implementing the Customer Relationship Management (CRM) in a firm using the Data mining (DM). The use of the data mining in CRM is widely accepted by the firms. The success of proper implementation of CRM using Data mining in firms is mixed. This is due to the fact that investment involve in this implementation requires planning regarding the factors which need to be considered before going for the new innovative technology. These factors may vary from firm to firm but the general factor for effective implementation of the CRM using data mining is essential. This factor termed as Critical success factor (CSF) decides the failure or success of the implementation. The paper demonstrates the key factors which need to be considered before automating the process of searching the mountain of customer’s related data using Data mining to find patterns that are good predictors of behaviors of the customer which help achieve successful CRM. The paper gives an idea of how proper planning and effective management can lead to increased customer satisfaction and profit for the firms.


2018 ◽  
Author(s):  
Franka Cadée ◽  
Marianne J. Nieuwenhuijze ◽  
Antoine L. M. Lagro-Janssen ◽  
Raymond de Vries

2010 ◽  
pp. 41-61
Author(s):  
V. Andreev

The article discusses the concept of "success" in relation to innovative business and its performance. The quantity of innovative projects that can consistently overcome the stages of the innovation process to achieve the desired result is defined. The author presents the results of empirical research of successful and unsuccessful projects of leading Russian innovative companies in various industries, identifies key factors of successful development of new industrial products.


Author(s):  
Fernando Forcellini ◽  
Milton Pereira ◽  
Helio Aisenberg Ferenhof ◽  
Arthur Boeing Ribeiro

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