Data mining refers to the systematic process of discovering patterns, anomalies, and relationships within large datasets using statistical, computational, and machine learning techniques. In qualitative and mixed-method research, data mining extends beyond structured survey responses to include unstructured sources such as interview transcripts, open-ended responses, and behavioral signals. Enterprise insights teams use data mining to surface themes and segment differences across hundreds or thousands of participant conversations, turning raw data into actionable customer intelligence. When applied rigorously, data mining reduces the time researchers spend on manual coding and pattern recognition, allowing more focus on interpretation, stakeholder communication, and strategic application of findings.