TDSP is a framework that combines the best practices from CRISP-DM and Scrum with a strong emphasis on team collaboration. It provides comprehensive open-source documentation and incorporates Agile concepts to support data science projects.
Team Data Science Process (TDSP)
Goals
The TDSP framework aims to provide a structured, efficient, and effective process for data science teams to work together, from defining the problem to delivering the solution. It aims to make the data science process more organized and predictable while promoting continuous improvement and learning.
Best pratices
Clear definition of the problem to be solved and the project goals
A collaborative and iterative approach to problem-solving
Regular and open communication within the team and with stakeholders
Flexibility to adapt to changing requirements and learning from feedback
Focus on delivering valuable outcomes and results