Cross-Industry Standard Process for Data Mining

The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a structured approach to analyzing data to gain useful insights. It involves six main steps: understanding the business goal, understanding the data, preparing the data for analysis, applying data mining techniques to find patterns, evaluating these patterns to ensure they make sense, and deploying the results to solve real-world problems. This process helps organizations systematically turn large amounts of data into actionable knowledge, improving decision-making and efficiency across various industries.