Data mining and data analytics may sound similar but are different. Data mining digs deep to uncover hidden patterns through techniques like clustering and anomaly detection. Data analytics uses those insights to answer questions, test hypotheses, and drive decision-making, whether descriptive or predictive. Successful data programs blend both to uncover insights and activate them.