Recently, there has been a tremendous increase in demand for mobile data driven by the wide-spread usage of smartphone like devices. Besides the efforts of studies that propose ways for operators to handle this huge growth, there is also an emerging research area of analyzing this new type of user data. In this paper, we perform an analysis on mobile user data to understand general aggregated user behavior based on several parameters. We also investigate the reasons for the user behavior deviating from its general trend. Finally, we discuss several ways of utilizing the results of the analysis in this study in solving current problems operators face.