These enterprises spend a large amount of time and effort trying to collect data, often the wrong data, toa address a problem they don't understand and then hope if they do enough "data science" on it then it will magically tell them what to do. All without understanding or reasoning behind it, or any real connection to reality just "the data says X".
This results in ideas like "We did A/B testing and it runs out people stay on the page 38% longer if we use design B". Ignoeing the fact that the reason that happened was that design B involved the exit button randomly dancing around the page.
That is of course limiting ourselves to situations where people are actually trying to use data to get answers when much more often it is "I have already made a decision make the data say it was the right one." Which is a whole other can of worms.