In this day and age, everybody knows that data is important. But as supply chains grow, the amount of data they generate can quickly become overwhelming. And if companies don’t know what to do with that much data or simply have too much of it to track and analyze efficiently, the data itself becomes virtually meaningless. As a result, many companies neglect their historical shipping data and focus solely on the now. In doing so, they inadvertently ignore countless problems that the data could have flagged—if they’d analyzed it properly. Here are a few common problem areas that shipping pattern data can shine a light on.