
"Big Data is Dumb Data." That phrase has really stuck with me over the past few years. Before I joined Sokolis Group, I spent a number of years at a company called ALC within the direct marketing industry. Chairman Donn Rappaport came up with that phrase as Big Data proliferated throughout the marketing industry.
The point of his observation was simple: Although technology has enabled us to collect so much data now, does having vast amounts of it really make us any smarter?
It really doesn't -- unless someone is looking at it, interpreting what it says and driving the necessary actions to generate value from it.
After attending the ATA's MC&E conference in Orlando last fall, and having the opportunity to stroll through the aisles of the exhibit floor, I realized just how much Big Data has impacted the transportation industry. There are so many companies now offering technology solutions, which gather almost every imaginable piece of data generated by the vehicle and driver.
That data can even be sent to you in real-time so you can have volumes coming at you all of the time. The same goes for the fuel card vendors who have been on the data scene much longer. They now provide more data than ever about fueling transactions.
Undoubtedly, there is value that can be sifted out of the information. But when companies decide to invest in the products and services that generate the data, they should also consider the time required to digest and interpret it. Without the analytical resources required, the data might just flow into an overstuffed email box of someone struggling to keep up with their "primary" job responsibilities.
Maybe the reports will get a quick glance and a sign-off, but will an appropriate effort be made to review the information, fully understand it and make informed decisions for the future?
The same situation is common for fuel management programs. There is a significant amount of data that can be made available for fleet fueling transactions. This information can be used to drive substantial savings to a company's bottom line.










