The phrase itself has been a bit overused; but how can you use data as a natural resource?
2. Data Lakes Are As Useless As An Oil Reserve
Throwing all of your data into a data lake is actually fine. But we all need to be very careful to remember that this is only a first step. It is a bit like knowing you have a huge oil reserve under your feet but not having the equipment, knowledge, or manpower to turn it into fuel. In order to drive value, you need to apply a lot of hard work, time, and know-how.
Big data technologies only make the art and science of data management more important - not less. You will still need a small army of data experts in order to manage the refinement process no matter how great your drilling equipment (data scientist) is…
The other thing that we can't forget is that extracting the oil and turning it into fuel is still only one end of the equation and it isn't even the important end.
3. After All That Effort, Fuel Is Not Even The Point
People don't even want fuel.... they want to transport themselves to their friend's house, they want to grill a hamburger, and they want to stay warm. Fuel is just ingredient. The really cool, interesting and innovative part of this whole equation is the car, the grill, and the furnace.
What really matters then is the innovators who figure out how they can use fuel to power human desires. What really matters is the people who are able to explore their intuition and explore the possible. What really matters are the data explorers, not the data scientists.