Raw data is useless without context. Averages strip meaning from numbers, and applying AI to unexamined datasets produces junk. You need to understand what your data actually means before you can trust it.
Meaningless. They're just a huge database of junk, right? And we don't just throw AI at that because it doesn't tell you. A lot of people still look at their like balanced scorecards, like what's your kitchen metric? It's like average ticket time. And I rail on this a lot. Like our data scientists here say averages were invented to strip all meaning out of data. So an average ticket time doesn't mean anything, right? You have to give it all sorts of context.
