"Advanced analytics means using methods to pull meaning from data that will allow for accurate"
And it will fail. It's thousands of years that mankind is trying to pull meaning by summing empirical observations to allow for accurate predictions, and every time it fails.
It wasn't until people like Galileo who showed that empirical observation can be faulty, and you need to abstract the problems and understand the real "laws" behind them, that real Science got a big boost towards the right direction.
But now we are back, haruspices, ehm "data scientist" try to look at coincidences or ephemeral data and build prediction on them. Economists have been trying the same approach for years too, and utterly failed too.
Still the "kings" or "CEOs" will believe them because it's a great tool to avoid responsibilities, "the gods themselves, ehm, the data themselves told me to act this way!"
Don't get me wrong, statistics is a great tool as long as you use it properly. Instead we are wasting enormous resources to store haystack over haystack of data because someone told them there's a gold needle within - where and why, nobody knows. And maybe there's no needle at all.
That's instead of working on real problems about very complex systems, gaining a true understanding, and find real solutions.