In order to improve service efficiency, service quality and customer relationship management standard of China's Air cargo industry, this paper brings forward analytical CRM study based on data warehouse in China's air cargo industry. The aim of this paper is to provide an analytical CRM solution with strong decision support function by intergrating CRM with technologies of data warehouse, OLAP and data mining. The main content of this paper includes the following aspects: On the basis of discussing the necessity of implementing CRM in china's air cargo industry, this paper firstly designs and builds the air cargo analytical CRM data warehouse and realizes OLAP analysis on it. Then, this paper segments the air cargo customers and derives the formulas of calculating customer life cycle value (CLV). Finally, this paper analyzes air cargo customer group characteristics and customers' service demand by using data mining algorithms of attribute-oriented induction and association rule.
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