Imagine that you are a quarterback and you have just left the field and that your team has lost the game. You might look at the game as an epic fail and move on from the day, or you can look at this loss as a way to improve. How? In your jersey is an embedded sensor that has tracked each of your moves, with data that can assist you when it comes to knowing what to do differently in your next game.
Data is already being collected when it comes to a variety of sports across the globe that assists teams in improving their game. Regardless of whether you are basketball fan from the U.S or perhaps one of the football fans from Europe, Big Data is expected to increase that will have a major influence on this large industry. As this post Harnham UK shows big data is used in all sports, including football. On a global scale, the professional sporting markets has a worth of more than $90 billion, which offers a huge potential when it comes to Big Data. Just like other industries use data to connect and reach out to audiences, it can be used in athletics when it comes to enhancing organization, player and even fan experiences.
How Is Big Data Used In Sports?
Data has the ability to be used and shared on a granular level, that enhances experiences of professional sports when it comes to every party involved. This offers a way for an enthusiasts and sports participants to examine data which tells a realistic story that assists with all aspects of a game, from the player recruitment onto fan engagement.
Baseball happened to be an initial sport to use the Big Data treatment. The Oakland Athletics a famous story that was popularized by the book Moneyball by Michael Lewis, portrayed how powerful Big Data is in sports in the way of depicting a revitalization story involved with a team that was struggling with the use of recruitment tactics that were evidence-based.
The data assisted Billy Beane the A’s general manager to choose his talent according to numbers opposed to gut, which resulted in great success. Currently, the Big Data-based recruitment has started to gain momentum, with the Irish startup Profile 90 that introduces a talent-identification platform that is multifaceted which evaluates mental, social and physical factors that assist teams in making better and smarter recruitment decisions.
The Big Data is described as a long-game in a few contexts, that sets a stage into the future opposed to the actual present. For example, in the Olympics which is ultra-competitive where training involves a full-time schedule, the athletes are always in search of gaining an edge. Coaches have started to collect the training data associated with the young athletes, with a vision to gain more insight about makes the very best athletes successful when it comes to the Olympics, along with the factors that play the largest roles. This type of data is also assisting the Olympic competitors in the way of learning about challenges that they face while training, like the clash between endurance training and strength training in rowers.
Social Media’s Role
When it comes to fans, nowhere will you find a larger data source than that of social media. Fans can of course use the different platforms to collect information about the teams that they love and to interact, but this is not the largest role when it comes to social media and athletics. Professional sports teams and universities can leverage the data from the different social media platforms in the way of engaging and attracting fans, in the way of encouraging these fans to purchase tickets to attend their games.
It is the university programs that can gain the most from social media use, because most of the users on the social platforms are usually younger adults. At this stage, most programs do not have technological resources in order to leverage this data from the platforms. However, the future looks bright as more and more schools are starting to notice the importance of social media to drive engagement with the athletic programs they offer. Around 84% of the universities already use Twitter to attract the millennial fans and students. This particular trend has become so popular that the professional teams now often market the ticket sales to the millennials that usually make their purchases through the social-media platforms.
What Does The Future Hold For Big Data In Athletics?
We have only started to scratch the surface when it comes to the uses of Big Data for sports. Each piece of data that is collected now may be useful into the future, with most applications that are still in the earlier stages.
One of these examples is the wearable which help to monitor the players during a game or practice have become more advanced over the years, with some that are integrated into the uniforms of players. This offers coaches with a way to check on a player’s hydration and fatigue levels. As the devices become smarter, the player performance and safety can also be improved, analyzed and tracked.
The data from the fans will carry on influencing marketing decisions and efforts about the different sporting events, in the way of when games should be scheduled and ways to cater to the preferences of the fans. The advancements in Big Data may even result in career opportunities when it comes to the avid fans that has a talent in numbers. Possibilities are just about endless when it comes to players, coaches and even the fans, and we can expect to continue seeing data play larger roles as sports move’s forward. Make sure you pay attention to the Big Data advancements when it comes to your favorite teams.