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Big data

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Albin Panalickal

(1) Germany won the 2014 World Cup, aided by their use of a big data analysis tool called Match Insights. (2) Match Insights collected vast amounts of player performance data through on-field cameras and analyzed it using SAP HANA software to provide metrics and feedback to coaches. (3) This data-driven approach helped Germany make better tactical decisions and identify weaknesses in opponents, giving them an advantage over other teams that did not employ similar big data analysis.

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GERMANY WINS THE WORLD CUP WITH BIG DATA AT ITS SIDE PREPARED BY, JOB JUSTIN, ALBIN BABY, (MACFAST).
CASE STUDY
Summary Germany won the world cup 2014 defeating Argentina 1-0. In front the success was due to talent , team spirit and teamwork. But the winners had another behind-the-scenes advantage: Big Data was at their side. In 2014 the German team appears to have been the only one(among the 32 competent) that employed a special database and software to measure and analyze individual and team performance and strategies. In 2012, the German Football Association partnered with German software giant SAP AG to create a customer match analysis tool called Match Insights that collects and analyze massive amounts of player performance data. It analyze video data from one-field cameras that captures thousands of data points per seconds, including player speed and position. This tool uses SAP HANA in-memory computing and analytic software to analyze vast data in real time and allow coaches to target performance metrics for specific players and give them feedback via their mobile devices.
Conti The system assign each German and opposing soccer player a unique identifier to track them digitally. It analyze data to measure key performance indicators such as possession time, movement speed and no. of touches controls ball. It also shows the team virtual defensive shadows. The German team also used this tool to evaluate competitors performance. With the help of SAP the team developed a mobile app that sends short clips of analysis to individual players/group. Match Insights helped the team to make better decision about how to improve its game. It helped the World Cup managers, coaches and players make more precise, the fine-grained decision on how to best play the game.
Problems Identified The difficulties that German team may face with the absence of Match Insights are: Lack of clarity and understanding of opposite teams performance and players. Face difficulty in the creation of better plans, strategies and tactics. They will not identify average possession time so that their speed will not improvised. The coaches may lack better decision and other alternatives.
Big Data Complex and so voluminous data sets are called big data that traditional data- processing application software are inadequate to deal with them. It include structured and unstructured data. Big-data include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Concepts associated with big data Volume Varity velocity
Velocity: data streams in at an unprecedented speed and must be dealt with in a timely manner. Volume: organizations collect data from variety of sources, including business transactions, social media and information from sensor/machine-to-machine data. Variety: data comes in all type of formats from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Conti
SAP HANA Software SAP HANA is an in memory, column oriented, relational database management system developed and marketed by SAP AG, a German based European MNC. Primary function to store and retrieve data as requested by the applications. In addition it performs advanced analytics and includes ETP(extract, transform and load) capabilities as well an application server.
Benefits of Big Data in Soccer Identification of the key players and placing them in the right position. DATA available on a players reflex reaction, speed, etc. in the game. Easy finding of players weakness and advantages. Development of better strategies and tactics in the game. Tracking of a players steady progress and skills. Easy identification of mistakes, fouls of own and opposite team players.
Future of Big Data In Soccer More data available and more tool to analyze. More competitively among teams and need to differentiate The Big data will replace the human eye. Enable differentiations between teams based on strategies, competence, etc. Increment of competitiveness between IT companies especially on development of more advanced software models, catching orders of the clubs, etc.
Conclusion Match Insights was considered as the 12th player in the German team. Big data/Match Insights analysis helped the German team to make better decision about how to improve their game and also helped the World Cup managers, coaches and players make more precise, the fine-grained decision on how to best play the game. The SASs platforms like HANA, Hadoop, etc. and other platforms have an open world of opportunities in fields of medical, sports, transportation, business, etc.
Big data

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  • 1. GERMANY WINS THE WORLD CUP WITH BIG DATA AT ITS SIDE PREPARED BY, JOB JUSTIN, ALBIN BABY, (MACFAST).
  • 3. Summary Germany won the world cup 2014 defeating Argentina 1-0. In front the success was due to talent , team spirit and teamwork. But the winners had another behind-the-scenes advantage: Big Data was at their side. In 2014 the German team appears to have been the only one(among the 32 competent) that employed a special database and software to measure and analyze individual and team performance and strategies. In 2012, the German Football Association partnered with German software giant SAP AG to create a customer match analysis tool called Match Insights that collects and analyze massive amounts of player performance data. It analyze video data from one-field cameras that captures thousands of data points per seconds, including player speed and position. This tool uses SAP HANA in-memory computing and analytic software to analyze vast data in real time and allow coaches to target performance metrics for specific players and give them feedback via their mobile devices.
  • 4. Conti The system assign each German and opposing soccer player a unique identifier to track them digitally. It analyze data to measure key performance indicators such as possession time, movement speed and no. of touches controls ball. It also shows the team virtual defensive shadows. The German team also used this tool to evaluate competitors performance. With the help of SAP the team developed a mobile app that sends short clips of analysis to individual players/group. Match Insights helped the team to make better decision about how to improve its game. It helped the World Cup managers, coaches and players make more precise, the fine-grained decision on how to best play the game.
  • 5. Problems Identified The difficulties that German team may face with the absence of Match Insights are: Lack of clarity and understanding of opposite teams performance and players. Face difficulty in the creation of better plans, strategies and tactics. They will not identify average possession time so that their speed will not improvised. The coaches may lack better decision and other alternatives.
  • 6. Big Data Complex and so voluminous data sets are called big data that traditional data- processing application software are inadequate to deal with them. It include structured and unstructured data. Big-data include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Concepts associated with big data Volume Varity velocity
  • 7. Velocity: data streams in at an unprecedented speed and must be dealt with in a timely manner. Volume: organizations collect data from variety of sources, including business transactions, social media and information from sensor/machine-to-machine data. Variety: data comes in all type of formats from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Conti
  • 8. SAP HANA Software SAP HANA is an in memory, column oriented, relational database management system developed and marketed by SAP AG, a German based European MNC. Primary function to store and retrieve data as requested by the applications. In addition it performs advanced analytics and includes ETP(extract, transform and load) capabilities as well an application server.
  • 9. Benefits of Big Data in Soccer Identification of the key players and placing them in the right position. DATA available on a players reflex reaction, speed, etc. in the game. Easy finding of players weakness and advantages. Development of better strategies and tactics in the game. Tracking of a players steady progress and skills. Easy identification of mistakes, fouls of own and opposite team players.
  • 10. Future of Big Data In Soccer More data available and more tool to analyze. More competitively among teams and need to differentiate The Big data will replace the human eye. Enable differentiations between teams based on strategies, competence, etc. Increment of competitiveness between IT companies especially on development of more advanced software models, catching orders of the clubs, etc.
  • 11. Conclusion Match Insights was considered as the 12th player in the German team. Big data/Match Insights analysis helped the German team to make better decision about how to improve their game and also helped the World Cup managers, coaches and players make more precise, the fine-grained decision on how to best play the game. The SASs platforms like HANA, Hadoop, etc. and other platforms have an open world of opportunities in fields of medical, sports, transportation, business, etc.