Analytics Teams: Before You Model
Experienced analytics or data science teams know that two key challenges for analytics projects are making sure you solve the real business problem (framing the problem) and making sure you can operationalize the result(deployment). In this post I am going to talk about framing the problem and I’ll follow-up with another on deployment.
One of the best ways to think about framing is to consider the questions the analytic team should get answers to before they start building a model: