Investing in big data is all the rage right now. But as with many topics that become buzz worthy, its core values often get lost in the hype.
In customer conversations it has become increasingly clear that many companies are investing in the wrong places when it comes to data science, predictive analytics, or big data. They think they’re taking shortcuts to execute quickly, but are generally then left with systems that fall far short of their business needs. Here are the three major mistakes I see in choosing big data solutions and how to overcome them.
Author: Erik Severinghaus