A Study of Data Mining Technology in Customer Relations Management
This article has analyzed the customer relations management, the data mining technology, as well as based on the customer life cycle; the data mining performs in the customer relations management’s application to introduce and the analysis separately. The
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A Study of Data Mining Technology in Customer Relations Management Jin Li
Abstract This article has analyzed the customer relations management, the data mining technology, as well as based on the customer life cycle; the data mining performs in the customer relations management’s application to introduce and the analysis separately. The data mining may help the enterprise in the customer relations management’s application in the magnanimous customer data to discover that the valuable knowledge and the pattern, become meet the enterprise need, provides the effective business decision support for the enterprise The customer relations management played the crucial role in the business management decisionmaking, but the data mining technology has provided the good technical support for the customer relations management’s implementation. Keywords Data mining • Customer relations • Management
94.1
Introduction
Along with informationization advancement’s quickening with the profession competition’s aggravating, enterprise’s business model has experienced by take the product as the center to take the customer as the central transformation, to compete for the customer resources effectively, must first with the customer establishment good relations, from this, the customer relations manage (CRM) to arise at the historic moment [1]. It can be said that the customer relations management’s appearance, enables the enterprise to be possible carefully examines by one new way or the angle with the customer relations, then selects the method which this kind of new management and the technology unify to enhance enterprise’s core competitiveness [2]. In contacts and manages in unceasingly the process which with the
J. Li (*) School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China e-mail: [email protected] S. Zhong (ed.), Proceedings of the 2012 International Conference on Cybernetics 735 and Informatics, Lecture Notes in Electrical Engineering 163, DOI 10.1007/978-1-4614-3872-4_94, # Springer Science+Business Media New York 2013
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customer the market expands unceasingly, the enterprise accumulated the massive customer data, but these data behind, is hiding unknown, and the latent useful value, the data mining technology may help the enterprise to discover that behind the data the commercial knowledge, makes the correct business decision for the enterprise to provide the powerful technical support, subsequently effectively instructs enterprise’s market behavior [3].
94.2
Data Mining Technology Connotation
The data mining (Data Mining) is from massive, incomplete, has the noise fuzzily, in the stochastic practical application data, extraction concealment, the people do not know beforehand, but is also the latent useful information and the knowledge process. The business data excavation may describe is: Decides the service goal according to the enterprise carries on the exploration and the analysis to the massive business data, promulgates the hideaway, unknown or the confirmation know
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