Determining the best data management techniques for an enterprise is industry-specific, but generally involves the standardization and documentation of data collection procedures. The University of Georgias Transportation and Parking Services (UGA Transit) is in the process of searching for an intelligent transportation system (ITS) software vendor in order to enhance efficacy of the transit network and tap into cost-cutting opportunities. We use raw data exported from their current ITS provider, RouteMatch Software, to check its validity, provide some insight into bus patterns in relation to ridership and transit time, and recommend strategies to obtain more reliable data in the future. We found that opportunities exist to collect better information such as creating code-logic that flags improbable observations from being recorded and explore ways to manage ridership while decreasing travel time between stops. Additionally, we recommend a method for the next ITS provider to decrease headway fluctuation.