The modern data stack is it's complicated because it's all adding layers to try to get to simplicity and clarity. Frederick: There's this long continuum where it starts with simple and then step two is oh crap it's more complicated than we wish it would. He says if the person who's trying to use it cares about it, they recognize that okay to slice it the sums aren't going to add up but they're going to be good enough. "If you have five or ten minutes to say understand this disconnect hopefully they are willing enough to not see it"
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.