To pile on, business teams are greedy. They want the same self-service they get with SQL friendly desktop tool but avoid heavy processes like ETL because it adds weeks to their analytics projects.
So how do you architect a modern analytics platform that supports polyglot persistence strategies and business-driven analytics? It's a hard problem to solve, but done right can transform the business.
Having been involved in hundreds of such projects, we've come up with a list of 7 requirements to deliver business-driven analytics on modern data architectures.
We generally see high levels of success and higher user adoption rates when these requirements are delivered. Our customers also report over a 10x reduction in analytics project implementation time and rework.