We’ve said it before on the Skypatrol blog, and we’ll say it again: data with a little organization and a lot of context can tell stories that would otherwise be lost in a sea of numbers. The more we can do to make sense of disparate data and organize it in a way that makes sense, the more our fleet businesses will improve over time. This is true from a business-by-business perspective—but what about from a regional perspective or an industry-wide perspective?
Large-scale data collection isn’t just helpful for singular businesses—it can shed light on huge fleet victories and systemic problems that can put drivers at risk and hurt profits for everyone. For example, a single fleet business might understand the risk of driving down a certain stretch of interstate highway in the Mid-Atlantic, but what they might not realize is that dozens of other companies have experienced costly traffic delays or even accidents in the exact same area.
Big data could have other insights, too—like how one brand of fleet truck seems to have twice as many breakdowns as any other fleet truck in its class, or how a certain fleet van appears to be more fuel efficient than the rest over time. These are big-picture insights that couldn’t possibly be seen by a single fleet company, but could have a positive impact on the safety and productivity of the entire industry. The more data collected, the better—and with easier and more effective methods for collecting this data, the entire industry and its employees can benefit.