Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation

An effective marketing strategy is a method to identify the customers well. One of methods by performing customer segmentation. This study provided an illustration segmentation based on RFM (Recency, Frequency, Monetary) analysis using machine learning clustering that can be combined with demography, geography, and habit through data warehouse-based business intelligence. The purpose classifying analyses was make level. Meanwhile, behavior classify same characteristics. combination both better result in understanding customers. also showed minibatch k-means model rapid performance 3-dimension data, namely recency, frequency, monetary.