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With the arrival of the new economy, business management core concept from the \But for businesses, the value of different customers are different. Choose real customers, corporate \real customer premise and enterprise development is just beginning, \This paper analyzes the existing customer resource value evaluation deficiencies, and then use the value of customer life cycle theory, a comprehensive analysis of the value of customer resources, from the customer's current value, future value, non-monetary value, potential value and sustain value five aspects constructed a value evaluation system; followed detailing how to use AHP to determine the index weight and how to use the evaluation index system of the implementation of specific evaluation; final analysis of the different values ??constitute the corresponding customer business development strategy. Secondly, the paper uses data warehousing and data mining technology on the customer resource value of mining platform detailed system design, the formation of enterprise products, customers, the transaction complete and comprehensive view of the excavation; Then analogy based on recursive prediction and forecasting theory, through analysis of customer data, the use of relevant data mining techniques, such as: decision trees, association rules, sequence analysis and other methods, to establish a predictive model of customer behavior, the monetary value from the customer, the customer non-monetary values, long-term customer value three angles give a specific customer resource value of mining method and the corresponding implementing enterprise management strategy. Finally, this paper summarized the system expounded customer loyalty to the customer value mining resource value significance, and discusses how companies should build customer loyalty. This research can help companies to correctly identify high-value customers and powerful use of advanced information technology to customer resource value fully excavated, so rational allocation of enterprises limited resources, maximize enterprise value.
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