Defining and understanding data teams
In recent years, investment in data platforms and tools has grown exponentially. At the same time, and proportionally, investment in data teams has increased to the point where the number of data teams is in the hundreds and even thousands.
On the one hand, this has been and continues to be an exciting time for the data ecosystem and for those who work in it, but on the other hand, this exponential growth has also brought with it a whole new set of challenges, not only technical but also organizational. Over the years, several questions have spontaneously risen:
- How can I scale a data team?
- What skills and roles are required for the success of my data investment?
- How does management, such as the hiring process and budget, differ for these specific roles?
- How can I improve communication between my data team and the rest of the organization?
These are non-trivial questions that are difficult to answer. Simply put, we...
