A large manufacturing company has decided to open a new data science department. They hired Robert as an experienced team leader and asked him to build the new department.
The first thing Robert did was research the scenarios his department should handle. He discovered that the understanding of data science was still vague in the company, and while some managers expected the department to build machine learning models and seek new data science use cases in the company, others wanted him to build data dashboards and reports. To create a balanced team, Robert first documented two team goals and confirmed that his views correctly summed up what the company's management wanted from the new team: ...
