The general data science process

Data science projects have a general process that the majority of well-run projects follow. Let's outline the overall data science approach to a project to ensure that we have a shared understanding of the approach. The structure of the team is irrelevant to this process. Any data science team will execute a project process for most data science-related projects that are similar to the following list of steps:

1. Project ideation
2. Engagement with project sponsors and subject matter experts
3. Project charter initiation
4. Project charter refinement
5. Project management
6. Convening team meetings
7. Obtaining internal and external data
8. Testing various analytical techniques
9. Building analytical models
10. Designing the user interface (UI) and user experience (UX)
11. Presenting interim results
12. Discussing the level of success or failure in the modeling process
13. Planning for the testing of models...