Abstract
Based on the customer relationship management in the context of big data, focusing on B2C e-commerce companies, this paper constructs a customer classification index system, uses a factor analysis and Bagging model to study the sales data of an e-commerce business, and demonstrates the specific operation of customer relationship management under the background of big data. This paper finds that through the classification of past consumer behavior data, managers can distinguish between potential, core, and lost customers. The bagging model can predict the type of customer and guide the administrator to perform differentiated customer relationship management.
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CITATION STYLE
Li, X. T., & Feng, F. (2018). Enterprise customer relationship management based on big data mining. Latin American Applied Research, 48(3), 163–168. https://doi.org/10.52292/j.laar.2018.220
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