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A Study of Applying Data Mining Approach for CRM

机译:数据挖掘方法在CRM中的应用研究

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摘要

Advancements in technology have made relationship marketing a reality in recent years. Through data mining, organizations can identify valuable customers, predict future behaviors, and enable firms to make proactive, knowledge-driven decisions. Each of the classes of customers was categorized on four CRM dimensions (Customer Identification, Customer Attraction, Customer Retention and Customer Development) and seven data mining functions (Association, Classification, Clustering, Forecasting, Regression, Sequence Discovery and Visualization). This paper presents a roadmap to guide future research and facilitate knowledge accumulation and creation concerning the application of data mining techniques in CRM.
机译:近年来,技术的进步使关系营销成为现实。通过数据挖掘,组织可以识别有价值的客户,预测未来的行为,并使公司能够做出主动的,知识驱动的决策。每个类别的客户都分为四个CRM维度(客户标识,客户吸引力,客户保留和客户开发)和七个数据挖掘功能(关联,分类,聚类,预测,回归,序列发现和可视化)。本文提出了一个路线图,以指导未来的研究,并促进有关数据挖掘技术在CRM中的应用的知识积累和创造。

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