The application of DM technique to banking consists of four components: customer relationship management, risk management, credit grade evaluation, and service analysis and forecasting.
数据挖掘技术在银行领域的应用有四个方面：银行客户关系管理、银行风险管理、银行信用等级评估、银行服务分析和预测。
The Customer relationship management system based on data mining technique consists of data storage and colligation, multidimensional date analysis, data mining, model storage, method storage.
基于数据挖掘技术的客户关系管理系统由数据存储和综合、多维数据分析、数据挖掘、模型库、方法库组成。
Applying the cluster analysis algorithm to the customer Relationship Management can help the enterprises to be more purposeful and keep a better relation with customers.
把聚类分析用于客户关系管理，可以使得本企业更有针对性地与客户保持良好的关系。
To seek better results from the customer relationship management, efforts in customer identification & analysis, customer care, and providing customized services to meet specific needs should be made.
而客户关系管理的深化实施包括识别和分析客户、做好客户关怀、提供定制化服务，以满足每个客户群体的需要。
Recently, with the research of Customer Relationship Management(CRM) software, some new technologies such as data mining have been utilized widely in many fields such as market and customer analysis.
客户关系管理软件的兴起，使数据挖掘等技术在市场、客户分析预测方面得到了广泛使用。
This paper describes the design and the realization of data warehouse in customer relationship management system, and gives MDX operations in multidimensional data analysis.
论述了在客户关系管理系统中数据仓库的设计方案和具体实现方法。
Linear Regressing analysis, to describe linear relationship among quality sensation, customer satisfaction and value sensation, and effects of latter two factors to post-purchase behavior.
回归分析，用于建立感知质量各个维度对感知价值和顾客满意的线性关系与后两者对购后行为的影响。
Linear Regressing analysis, to describe linear relationship among quality sensation, customer satisfaction and value sensation, and effects of latter two factors to post-purchase behavior.
回归分析，用于建立感知质量各个维度对感知价值和顾客满意的线性关系与后两者对购后行为的影响。
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