电信行业营销中的数据挖掘

Rokhmatul Insani, Hira Laksmiwati Soemitro
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引用次数: 7

摘要

数据挖掘用于从数据中提取模式并获得洞察力。对于电信行业的市场营销,第一步是根据客户对服务的使用情况和客户的支付情况对客户进行细分。电信行业为客户提供了大量不同规格和价格的产品套餐。使用市场购物篮分析(MBA)来确定产品之间的关系。为了减少数据,获得有价值的信息,我们使用在细分过程中识别的有利可图的客户的包。我们使用IBM SPSS modeler对其进行处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data mining for marketing in telecommunication industry
Data mining is used to extracting the patterns and get insight from the data. For marketing in telecommunication industry, first step is to segmenting the customer according to customer's usage of services and customer payment. Telecommunication industry has a lot of packages of products with different specifications and price offered to its customers. Using Market Basket Analysis (MBA) to determine the relationship between the products. To reduce the data and get promising information, we use packages from profitable customers which has identified in segmentation process. We use IBM SPSS modeler to process it.
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