Data mining involves the extraction of valuable information and patterns from large datasets using statistical techniques, machine learning, and data analysis. This process helps organizations identify trends, correlations, and anomalies that can inform decision-making. Data mining techniques include clustering, classification, regression analysis, and association rule learning. The insights gleaned can be used for various purposes, such as market analysis, fraud detection, and customer segmentation. Effective data mining enhances strategic planning and operational efficiency by enabling businesses to act on data-driven insights.