Data science departments can have varying degrees of succes within a company. What makes a good department, and how can we improve what’s already there?
After doing several successful projects at a major credit card supplier, we were asked to help the data science department to set up their projects in an efficient way. We shared our experience with structuring a project, how and when to deliver results, stakeholder management and data science methodologies. Our main achievement here was the shift from numerous daily tasks without tangible output, to a structured way to take on a project.
- The department has learned a way of working that will help them to keep adding value even after our joined project was finished.
- As a result the data science department has completed four project with tangible output in the previous year.