Map Your Data Science Stack

The first step in mapping your Data Science stack is developing use cases for how you actually plan to use them. Some of these library have very broad and deep capabilities, but does it make sense paying extra for the training? In the process of creating use cases you’ll likely also need to work out competing priorities among different members of your buying team. The typical buying team includes several people including the CFO, line of business manager(s), an IT representative, end users, and others. Many companies give the end users the least voice in the selection, but will the library be successful if they find it expensive to train?

Adopting Data Science can greatly improve your business results, but only if it’s thoughtfully selected and then actually used.