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

CRISP-DM, or Cross-Industry Standard Process for Data Mining, is a structured approach to solving data-related problems. It consists of six stages: business understanding (defining goals), data understanding (collecting and exploring data), data preparation (cleaning and organizing data), modeling (applying statistical techniques), evaluation (assessing the model's effectiveness), and deployment (implementing the solution). This framework helps organizations systematically analyze data to gain insights and make informed decisions, ensuring a thorough and repeatable process across various industries.