How big data creates a new order

 

"Just like a telescope can make us feel the universe, and a microscope can make us observe microorganisms.Big Data is changing our lives and ways of understanding the world, becoming the source of new inventions and new services, and more changes are coming soon ??"

　　Big Data is quietly affecting the strong and weak competitions on the green field.In the past, the age of confrontation based solely on the coach experience and the instinctive reaction of players has become increasingly distant. In the future, the green field will be closely linked with data capturing and big data analysis. At present, a large amount of athlete data is being collected through sensors and 3D Radar, and the wide application of data analysis is also promoting a huge disruptive change in the sports industry.

European soccer is experiencing such a revolution. Professional fans may find clues from the news: major players will become smarter and more efficient. In the past, statistics on football included only corner balls, free kicks, red and yellow cards, and number of shots. Now people can see how many meters the players ran in a single game, moving tracks, and speed. A data revolution is about to kick off.

Powered by data charm

This summer, football is definitely the most advanced and successful field in the use of big data.Big Data is quietly changing the football field preparation strategy. Experience and instinct are important, but numbers and facts, as well as personalized solutions for each player make football matches more technical.

Aside from amateur activities such as prediction scores, the German team that held back the Hercules cup was able to easily win the World Cup with the help of big data. Because the German team's training and preparations have added a "Big Data Analysis" Weapon compared with the past.

According to reports, prior to the start of the World Cup competition, the German Football Association cooperated with SAP, "Private Customization" of a football solution named "Match insights, it is used to quickly collect and process data for analyzing players and teams. It is reported that sensors have been deployed everywhere in the training venues of the German soccer national team, and even sensors have been placed for the training balls and the shacks of each player, it is used to capture important information such as players' movements and positions.

The data information is sent back to the SAP Hana platform in real time and processed in a short time. Any information about the player's running speed, position, ball control time, and Defense scope can be directly displayed on the panel for the coach to make a decision. The coach can quickly assess the game situation, the characteristics and performance of each player, the defender scope of the player, and the empty block area of the opponent's team. Afterwards, the coach will propose suggestions and improvement plans for the player's performance, and effectively optimize the configuration of the player's playing time, position, skills and tactics to improve the team's performance; players can also intuitively understand their strengths and weaknesses through data, and find out the enemy style in the World Cup by analyzing competitor technical data.

In addition, according to sap, 10 players use three balls for ball training. In 10 minutes, more than 7 million data points can be generated for real-time analysis. By analyzing massive data, the advantages and disadvantages of each player are clearly presented. Players can better understand their own performance, fine-tune their own performance based on the analysis results and the coach's suggestions, and offer targeted rewards, constantly explore potential to achieve the best. This is different from the traditional playback video and statistical analysis. The high-speed computing platform can complete data processing in an instant, just a few clicks on the screen, and all-round information will be clearly displayed, and real-time updates. This makes training targeted and effective at any time.

When the World Cup was a perfect curtain call to fans, I was very excited. From the performance of the German team, it seems that big data is quietly affecting the strength of the green field. We look forward to seeing Russia shine on Big Data in four years. Big Data is gaining traction in football matches. In the future, more and more football matches will be analyzed using data. Perhaps the age of relying solely on player talent and coaching experience has gradually drifted away. Personalized solutions for each player are bringing a new and colorful chapter to the traditional football match.

Can Big Data break through the emotional defense line?

I wonder if you have never experienced emotional trade-offs before making decisions, and often betray data? Even if Big Data Analysis gives a positive answer, the emotion at the last moment of making a decision is also contrary to the data.

　　In the last World Cup competition, Germany competed against Argentina, and both of them had their own fans. Repeated comparisons show that more than 90% of the indicators indicate that Germany will win, but I decided to buy Argentina. This decision may have been a long-lasting persistence in the Argentine team. It was entirely decided under the guidance of my own ideas of value. At this time, big data is meaningless to me. After all, this is an emotional force. Big Data cannot predict at the last minute whether it is a matter of winning or losing the team's liking.

Football is a passionate sport. If it becomes a pure computing task without soul, it will lose its charm. However, in this era, it would be a great disadvantage for any club or coach to recognize data. "The head coach will still guide the team based on his own experience and intuition, but relying on data analysis, he can clearly and intuitively understand the problem during the competition." After all, football is a sport that relies on coaching experience and players' instinct. To what extent should the coach rely on data analysis after joining the technology element and rely on his own experience? It is self-evident!

　　Big Data cannot solve all problems. Big Data is very useful. Almost every step, including product design, market positioning, target selection, sales strategy and pattern correction, can rely on big data to solve problems, even a variety of business-independent issues can be helped from big data.However, big data is not omnipotent. Big Data can solve objective problems rather than subjective problems. Taking the World Cup as an example, it is not true that some companies predict the results of their matches based on user search data and historical event data of the team. It depends on a variety of factors to win the championship. In essence, there is no difference between different prediction methodologies, except that they give different weights to different decision elements. That is to say, it is a subjective question to determine the factors for winning the championship. Big data can only explain the objective state and cannot directly answer questions that involve important subjective judgment.