it is a study we maid about the big data maid by Germany while world cup 2014

1. GERMANY WINS THE WORLD CUP WITH BIG
DATA AT ITS SIDE
PREPARED BY,
JOB JUSTIN,
ALBIN BABY,
(MACFAST).

2. CASE STUDY

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 competitor’s 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 team’s
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 player’s reflex reaction, speed, etc. in the game.
• Easy finding of player’s 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 Insight’s 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 SAS’s platforms like HANA, Hadoop, etc. and other platforms
have an open world of opportunities in fields of medical, sports,
transportation, business, etc.