Solving problems with data, whether analytics, A/B testing or ML, is not only effective, but expected by your product teams, advisors investors and customers. It creates measurable standards of success and innovation that help take the guesswork about which path to take. But what do you do before you’ve collected “enough” data and it still all seems like guesswork?