数据挖掘在理财产品营销中的应用——以CATI数据为例

The Application of Data Mining in Financial Investment——based on CATI Data

金融机构对客户分类和特征识别的分析将有助于它们挖掘出潜在的客户,并做好相应的营销政策。利用聚类分析、决策树等常见的数据挖掘方法,对台湾投资者的投资意向进行详细的分析,归纳出投资者的偏好,为金融机构的营销政策提供参考依据。

It is beneficial for financial institutions to classify customers and distinguish features when making marketing strategies, since it helps them find out potential customers and then making correet marketing strategies. This article will use common data mining techniques, such as clustering and decision tress, to analyze investors in Taiwan and find out their preferences, with the hope to give some help to financial institutions.