Using Big Data Analytics to Transform Sports
Sports are all about the teams, the squad, the preparation, the results, and the tactics. Today, Big Data has affected various businesses, and the new trends have gained attention, aiding in making the best choices in every sector. The sports industry is expanding its use of big data to collect analyzed data to develop plans and change the game at all levels. We previously addressed Big Data Strategic Edge in Retail in a previous blog; today, we will concentrate on how big data has become a trending buzzword in sports.
According to statistics, in the United States alone, 80 percent of NBA teams and 97 percent of MLB teams hire analytics experts.
Sports are all about the teams, the squad, the preparation, the results, and the tactics. Today, Big Data has affected various businesses, and the new trends have gained attention, aiding in making the best choices in every sector. The sports industry is expanding its use of big data to collect analyzed data to develop plans and change the game at all levels. We previously addressed Big Data Strategic Edge in Retail in a previous blog; today, we will concentrate on how big data has become a trending buzzword in sports.
According to statistics, in the United States alone, 80 percent of NBA teams and 97 percent of MLB teams hire analytics experts.
How has Big Data simplified sports?
Data from Wearable Technologies
Wearable gadgets are flooding the market, increasing health consciousness among consumers. It has also gained acceptance in the sports industry, where it has aided in the recording and tracking of athlete data. The gadget is either worn by the player or added to their clothing to provide the coach with information about the player’s health and exercise variables such as heartbeats, pace, and acceleration.
This method of data collection provides valuable knowledge on players to coaches, allowing them to develop an optimal training schedule for the team. Data collection increases athlete safety and makes sports safer.
Data Collection in Real-Time
While playing games, manual data collection of the field is popular. However, capturing live data is difficult because data travels so quickly that it does not allow for exact data recording at the precise moment. RFID tags will be attached to athletes and sports equipment in the future to measure speed, distance, and time.
Encourage Better Decision-Making
Because any event in sports happens quickly, it makes it difficult for referees to make the right call. There is a chance that referees will make a bad call that will affect the whole game; thus, through big data and analytics, the sports industry will use software to detect a strike or a ball struck. This enables sports officials to make informed choices based on scientific results.
Identifying a Fan Preference
Technology is now everywhere, and ticket sellers use it to consider what their customers want. Big data were used to do predictive analysis in this case, allowing vendors to determine the time is best for sports fans or whether they are interested in attending a certain sports venue. Major sports clubs use smartphone apps to anticipate their fans’ needs and have a unique fan experience.
Game Improvement Training
Golf is a very sophisticated game that demands a high degree of accuracy. A golf simulator system is equipped with a set of hardware (sensors + tracking devices) and software that allows for the capturing, display, and interpretation of data based on the movements of a golf player, which aids in preparation. Based on the data collected, the program produces animation as well as a synthesized biomechanical report, which assists in identifying a player’s strengths and limitations and also suggests how to play to better the game!
Player Development and Recruitment
The use of big data in player recruiting, preparation, and success is radically changing things. Cameras, wearables, and sensors capture and measure a player’s results using predictive analytics from big data processing and tracking technologies.
Wireless sensor technologies, in conjunction with RRID tagging and real-time visualization, will provide elaborated specifics of results, and these reports can aid in the selection of the appropriate player for the specific match.
Influence the Judgment of the Coach
Dramatic growth in the usage of available software optimizes coach decisions on estimates and factors by tracking real-time player success in sports. Big Data expands prospects in this strategic advantage to manage data to make the best judgment. A coach, for example, standing outside the court will study the players’ playing orders and health using a wearable tracker that transmits real-time data. Using such a device assists the coach in making the correct decision.
Variations of sports applications, blogs, and social media channels
Big data is a resource that offers a comprehensive understanding of the game. A massive volume of data generates massive amounts of knowledge and statistics depending on the information. For example, IBM’s Slam Tracker is a big data product that is used to provide detailed analytics of tennis matches, including every stroke and point. Similarly, Sportradar is a major data company that tracks 40 sports and 800 leagues all around the world. It contains both historical and real-time data that is widely used in a variety of sports applications, blogs, sport analytics platforms, and social media. Stats is now a large analytics firm that offers information for 45 sports and 600 leagues, as well as data to major sports entertainment stations.
How will market objectives be fulfilled when learning the various facets of Big Data in sports?
The primary goal is to determine if the players’ success is good or poor. This will provide insight into the players as strong, mediocre, or poor performers who can be prepared to attain results, make coaching choices, and carry out a strategy. Industries, in particular, have been using big data to incorporate in determining strategies. Implementing a suitable tool developed by a specialist Big Data and Analytics firm facilitates data in sports.
Big Data in sports is an incentive to improve players’ integrity and define an unbeatable approach to fulfill goals!
