When you think about analytics as just analytics and what we do it in, of course, we always find ways to make it more complex. And I'm very opposed to like if we take data and analytics and all that is something that people should do but don't want to do based on their own interest, then that always fits very complex to them. What the word means and like what I'm then trying to find is like analogies to other areas. For example, think of a car driver versus a plane pilot - they wouldn't feel comfortable flying a plane or driving a car. But back to the to the plane pilot, it may not be that difficult, like it's just become
Do analysts make things more complicated than they need to be, or is the data representing a complex world, so that is just the nature of the beast? Or is it both? Stakeholders yearn for simple answers to simple questions, but the road to delivering meaningful results seems paved with potholes of statistical complexity, data nuances, and messy tooling. What is a business to do? Frederik Werner from DHL joined Michael and Tim for a discussion that definitively determined that, well, the topic is…complicated! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.