If you haven’t heard the term “big data” yet, you will shortly.
Big data is the concept of collecting, analyzing and making change based upon gathering large amounts of data. Now more than ever organizations seem to be collecting more and more data. CTOs are constantly talking about how to manage all of the data that has already been collected. But what are they doing with it?
Our vehicle routing customers have their own “big data” within their organizations. Information on orders, days of the week to deliver, preferred time windows, planned vehicle arrival times, actual arrival and departure times…what do you do with all this data?
The answer is simple. It is a good business process to make a plan, collect information about the plan, analyze the actual results compared to the plan, and implement change accordingly. Sounds easy, but in practice it can be overwhelming.
Roadnet’s vehicle routing software provides guides to help you make your way through the data jungle. Start with standard reports that show you the basic key performance indicators (KPIs), such as:
- Driver performance and actual vs. planned. Did the vehicle driver do what was asked of them in the time allotted? Yes or no. If no, why not?
- Missed time windows – why are time windows being missed? Is this affecting the expected service levels? Is it a route plan issue or a driver issue?
- Location delivery cost – is it costing you more to deliver to a customer than the profit you’re making as a result of the delivery?
Next, use aggregate reporting tools, such as Roadnet Performance Dashboard to understand the story that your data tells. This vehicle route reporting tool takes your historical data and condenses it into easy to digest charts and graphs. As a result you can gain a historical perspective on your cost per mile or stop, missed time windows, or volume of stops. Graphical representations can help you quickly identify routing problems or seasonality changes that you can address. The old adage is true; you can’t manage what you don’t measure. BUT if you measure and don’t use the data you can’t improve.