The document describes the CRISP-DM process, which is a standard process for data mining projects. It consists of 6 phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The business understanding phase focuses on understanding project objectives. Data understanding involves exploring and preparing the data. Modeling applies techniques to the data. Evaluation assesses model quality. Deployment puts the results into actual use. Monitoring ongoing models for changes is also important.