Data Segmentation
Data segmentation is the process of dividing a dataset into distinct subsets or segments based on shared characteristics, behaviors, or attributes. It is commonly used in data analysis, marketing, and machine learning to identify patterns, target specific groups, and improve decision-making. This technique helps organizations personalize strategies, optimize resources, and gain deeper insights from their data.
Developers should learn data segmentation when working on projects involving customer analytics, targeted marketing, recommendation systems, or any application requiring group-based analysis. It is essential for building personalized user experiences, such as in e-commerce platforms that segment customers by purchase history, or in healthcare systems that group patients by medical conditions for tailored treatments. Mastering segmentation enables more efficient data processing and actionable insights.