Statistical techniques are generally applied to relatively small-size sample data selected randomly and specifically to validate a hypothesis. These techniques conform to a set of assumptions about the population and are called ‗verification driven techniques‘. Data mining includes techniques called ‗discovery driven techniques‘ that do the exploration and analysis by automatic means of large quantities of data in order to discover meaningful hidden patterns in order to find relationships, associations, and trends among the data measurements (Kim, 2002; Tan, Steinbach, and Kumar, 2006; Shmueli, Patel, and Bruce, 2010) and this knowledge is then applied to achieving specific business goals