KDA EP 27: Mastering Customer Segmentation with KNIME Analytics Platform
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KDA EP 27: Mastering Customer Segmentation with KNIME Analytics Platform
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The process of conducting customer segmentation using the KNIME Analytics Platform, focusing on the K-Means clustering algorithm. The text explains how businesses can transition from generic marketing to personalized strategies by grouping clients based on shared behavioral patterns, such as spending habits and purchase frequency. It provides a detailed step-by-step workflow that covers data preparation, including cleaning, normalizing, and handling outliers, to ensure accurate results. Additionally, the source highlights the importance of statistical evaluation and visual profiling to transform abstract data into actionable business segments. Ultimately, the material serves as a practical manual for using low-code tools to enhance customer retention and optimize resource allocation.