Cross-Industry Standard Process for Data Mining (CRISP-DM)

The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a structured approach to analyzing data to solve problems or find insights. It guides teams through six steps: understanding the business goal, preparing the data, analyzing it, building models, evaluating the results, and deploying solutions. This process ensures that data work is organized, effective, and aligned with business needs, helping organizations make informed decisions based on their data. Essentially, CRISP-DM provides a practical roadmap for turning raw data into useful knowledge across various industries.