Big data is ubiquitous in today's society and plays a significant role in various sectors. Considering the large volume and exponential growth of such data, the development of digital technologies has greatly facilitated their analysis. Football has turned from a recreational sport into a business, and football clubs have become companies that generate millions of revenues, therefore, innovative technological strategies are constantly being sought that would enable the achievement of better performance on and off the field, ensure a competitive advantage over other clubs and ultimately bring greater revenues. One of such innovative technological strategies is the approach driven by big data, which was also applied by Matthew Benham, a physicist and a lover of statistics, when running the Brentford football club, which proved to be very successful. The aforementioned management strategy sparked a revolution in the world of football and opened up the horizons of many other sports. This thesis aims to bring closer the ways and methods in which today's sports teams use big data to progress and create a competitive advantage over their opponents. The paper will analyze the application of big data analysis on the example of the Brentford football club and compare its performance in relation to the one before the use of big data. In the first part of the paper, big data, its history and role in different sports will be explained. Then, the ways in which football clubs use big data today will be presented and explained, for example in injury prevention, player decision-making during the game, improvement of the fan experience, club transfers and development of academies. Furthermore, a detailed analysis of the success of the application of big data at Brentford football club will be presented, and finally a conclusion will be drawn.