Data Scientist CRISP-DM

The full name of CRISP-DM is Cross-Industry Standard Process for Data Mining, and the purpose is to encourage interoperable tools across entire data mining process. It is a comprehensive data mining methodology and process model that provides anyone-from novices to data mining experts-with a complete blueprint for conducting a data mining project. It breaks down the life cycle of a data mining project into six phases.

• Business Understanding: project requirement understanding
• Data Understanding: data collection knowledge
• Data Preparation: data selection and data cleaning, ELT (Extract, Load, Transform)
• Modeling: run the data mining tool
• Evaluation: determine if the result meets business objective
• Deployment: put the resulting model into practice

CRISP-DM Life-circle

Reference

• CRISP-DM Overview- Data Science Project Management
• Manage your next Data Science Project with CRISP-DM METHOD
• Six steps in CRISP-DM the standard data mining process