Imagine trying to fill a thimble with water — from a fire hose. Unfortunately, if you’re still storing data with the once-good intention of mining it later, you might as well give it up. In this analogy, the wasted water represents not only the gushing, wasted data but also the enormous waste of time, money, and resources spent maintaining an outdated concept. Sure, your data warehouse if full, but full of what? If you’re only capturing a fraction of what is available, what are the chances that what you have is really valuable? And what valuable information are you letting go to waste?