Two of such questions for us are:
1. Why did we choose geospatial analytics? Today, there are plenty of analysis tools that provide answers to your questions on your users, their behavior, tastes, and preferences. We feel it is the “where” part of that pie that is completely broken. For example, where are your delivery agents idle? Where do orders get canceled the most?
2. What does "analytics" mean to us? We think about analytics as starting with a problem statement and answering four questions about an event: who, what, where and why. Once that is done successfully, the loop should be closed by influencing a business decision.
To read more, check out: https://medium.com/locale-ai/how-do-we-go-about-solutioning-our-offerings-using-first-principles-44b369fb2c0c