The Team Data Science Process (TDSP) is a methodology created by Microsoft to guide the full life cycle of data science projects in organizations. It is not meant to be a complete solution, but simply a framework by which teams can add structure to their processes and achieve the full business value of their analytics.
Besides TDSP, the other prevalent methodology that organizations have been adopting is called CRISP-DM (short for Cross-Industry Standard Process for Data Mining). This methodology has been around since the mid-1990s. There were several attempts to update it in the 2000s, but they were abandoned. The primary focus of CRISP-DM was data mining, but its principles can be extended to data science as well. The major steps listed in CRISP-DM are as follows: business understanding, data understanding, data preparation, modeling, evaluation, and deployment....
