In the world of freight audit, logistics data is a double-edged sword.
On one hand, you use it to guide your spending, verify your transactions, and manage your relationships. You expect your data to point you toward savings, and you apply it to critical business decisions every day. You depend on it.
But on the other hand, logistics data is never perfect. It comes at you quickly—and it tends to be inconsistent, ambiguous, or incorrect. Sometimes, it’s just plain missing. So you can’t depend on your data. How can you make well-informed decisions if you aren’t dealing with all the facts?