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Research On Power Marketing Decision System Based On CRM

Posted on:2008-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y M CaoFull Text:PDF
GTID:2189360215959876Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The advancement of power system's reform and the speed of power marketability will make the power supply enterprise face more and more fierce market competition. During the intense market competition, function of customer . is becoming more and more important. How to carry on the omni-directional demand side management around customer, and establish the interaction customer relationship; make the trendy and forward-looking analysis well; enhance the accuracy of forecast and the validity of decision support; complete the win-win between enterprise and customer. All these things are the new tasks proposed for the power supply enterprise. Therefore, the power supply enterprise must renew the idea as early as possible and develop customer relationship management urgently.This article, according to three kind of CRM applications' function location, has researched on the pattern and situation of the operatinal CRM, analytical CRM and collaborative CRM applications in the power supply enterprise. It proposes the power supply enterprise analytical CRM application's subjects and core functions. Based on these subjects, it has constructed the mathematical models about constitution of power customer, the power customer credit appraisal and the customer value appraisal.In the model of the electrovalence is influenced by customer constitution, to calculate the power customer's overall influence factor to the electrovalence of the power supply enterprise, through the electrovalence influence factorα_i and the electricity structure influence factorβ_i, then to carry on sorting. In the model of customer credit appraisal, it uses the TOPSIS to calculate various power customers' credit score and carries on sorting, then decides various power customers through the cluster analysis of the credit rank. In the model of customer value appraisal, it uses the pessimistic association method to calculate interrelatedness. The degree of interrelatedness not only has accomplized the sorting function, but also known the importance of each customer's value. Under the instruction of theory, this article carries on the function demand analysis and elaborates the overall function structure of power marketing decision system. Then it designs the system architecture, the data warehouse and the software and hardware environment of power marketing decision system.
Keywords/Search Tags:Customer relationship management, Power marketing, Decision
PDF Full Text Request
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