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Big Data for Big Sports

Big Data for Big Sports

Big Data and Analytics are playing an important role to improve the performance of game and players on the field, off the field through predictive decisions.

Tricon Infotech

August 11, 2014
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  1. In the Past It was difficult to analyze and anticipate

    the outcome of sports without credible data. Image source - creativecommons.com
  2. In the Future Big Data & Analytics will change the

    way we watch sports. Image source - facebook.com/fifaworldcup2014
  3. Player Predictive Analytics There are many ways to win the

    cup. Player predictive analytics will help the player and improve the game performance with better-insights Analyzes play-by-play effectiveness on live performance. Provides various reports from variety of data sources -New player’s performance tracking report -Referee and Coach Reports -Panoramic feeds -Biometric Data Anticipates the player’s strength, safety issues and prevent injuries. Tool helps to identify the right player for game. Awards ranking through predictive analysis of players performance.
  4. Baseball Football Cricket Player Predictive Analytics Major sports which use

    data and analytics to improve the performance Tennis
  5. Coaching Decision Predictive decision making is now easy Coach can

    collect real-time data of players from wearable sensor technologies. The data can be analyzed and accessed using mobile devices by managers, trainers and physicians. Analytics tool provides live feed of players -Speed -Heart Rate -Hydration -Breathing -Fatigue -Pain Based on the data-insight, management can make the call in terms of resting the player or who to play next or move the players to disabled list. Coaches can also help in identifying flaws in player technique and help individuals to overcome it.
  6. Coaching Decision Teams and Individuals who won big using Big

    Data & Analytics KKR - IPL 2014 Germany - FIFA Worldcup 2014 Boston Red Sox - 2004 World Series Champions Billy Beane - Genral Manager Oakland Athletics
  7. Digital Experience Game is on and it’s personal Sporting teams

    directly engage with their fans through league and team sites. Teams respond quickly to gauge fan sentiment. Social media platforms are literally on fire with more creative and engaging player stats. Most of all, they allow comparison between fantasy drafts which adds to the personal experience. Teams also keep a track on how, where and by whom their data is consumed.
  8. Fan Insights & Engagements Building audience and loyal fan club

    is very important in terms of sports sustainability. Finding where they are and what they want is no more a painful job Most of the fans are in social media. Hence, huge data is acquired from social media to analyze their sentiments. Data helps to enhance the fans experience with more personalized content and relevant communication. Insights will ignite the conversations among the fans without teams being the center of conversation. Fans explore the digital content and teams explore the fans preferences which in turn create positive engagements. Sports event promotions are based on huge data mining. So, next time if you see a sports event ad on your social media then you are more likely to have explored sports content often on the internet.
  9. Operational Analytics Front office on and off the field for

    perfect game plan Insights help to predict which promotions will successfully draw new fans towards franchise. Increases the accuracy of front office plans and optimizes the revenue during the game. Pricing model will be imposed uniquely based on different market segments. Sport needs sponsors and to give them best ROI, analytics tools have measuring techniques on each player and team. Analytics feed separates the loyal fans and new fans in order to provide discounts on ticket sales.
  10. Moneyball is an American 2011 biographical sports drama film directed

    by Bennett Miller from a screenplay by Steven Zaillian and Aaron Sorkin. The film is based on Michael Lewis's 2003 nonfiction book of the same name, an account of the Oakland Athletics baseball team's 2002 season and their general manager Billy Beane's attempts to assemble a competitive team. source - http://en.wikipedia.org True story on how analytics helped baseball team to improve their performances on field