In todays digital age, enterprises are faced with the emergence of vast amounts of data. Thus, it is critical for those who have a large number of users to understand the pouring data and to extract information for accurate decision making. This paper suggests an interdisciplinary way to explain the regression results of mass user enterprises database, including a normal distribution curve of behavior, an unexpected correlation between factors and a few models built for specific business stratagems. These regressions are performed on a database of a game publishing company called Talent Game where game makers launch their masterpieces. The sociological and psychological methodology adapts perfectly for companies like Talent Games (TG) that establishing on the value of mass data. Finally, a controversial issue is that distributions and slope levels are found out, but some correlations are slight, which is conceived statistically skewed, and negligible in communication and sociology. Therefore, theories of the masses and statistical diagrams are coordinately shown.