Title :
Customer Value Analysis Based on BP Arithmetic
Author :
Chen, Guang-hui ; Zhang, Juan ; Yang, Qian
Author_Institution :
Inst. of Manage., Xian Technol. Univ., Xian, China
Abstract :
Customer is one of the most important resources of an enterprise. Customer value analysis is the basis of customer relationship management and customer classification is an important item of customer value analysis. Aiming at the characteristics of customer in the mobile telecommunication industry, the thesis designed the BP neural network model, and presented the doable evaluating programs using matlab6.5 neural network toolbox according to the customer value evaluation system. In this way, the objectively evaluation on customer value of the mobile telecommunication industry, according to the evaluation and calculation results, can present some suggestions to improve its customer value.
Keywords :
backpropagation; customer relationship management; mobile communication; telecommunication computing; BP arithmetic; BP neural network model; customer classification; customer relationship management; customer value analysis; customer value evaluation system; enterprise resources; matlab; mobile telecommunication industry; neural network toolbox; Arithmetic; Communication industry; Conference management; Costs; Engineering management; Industrial relations; Mathematical model; Neural networks; Resource management; Technology management;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.441