German chariot: Large data failure also large data

The German team won the Fourth World Cup and the big Data technology was considered to be the work. However, the World Cup champion's recent record--0:2 negative Poland, 1:1-Ping Ireland, the European preliminary 3 rounds after the group ranked fourth, apparently unacceptable. "We played very childish. "Germany's coach," he said, seems unable to find a suitable evaluation. However, the German "picture newspaper" to help to find: There are four-star jersey, not four-star level.

During the Brazilian World Cup, Germany adopted SAP match Insights, a soccer solution tailored to the management software giant SAP. This application, based on the SAP HANA platform, assists coaches in handling massive amounts of data and thus facilitates the German team's analysis of training, preparedness and competition, and enables real-time assessment of the main conditions of each game through data from the football announcer and data captured by the field video clips. It has also been the 12th on the German team to improve the performance of the players and the team.

The European trials were so high that either the German chariot stopped using large data or the large data "failed". We believe in the latter, because the Germans, who are known for their rigor, do not make low-level mistakes in organizational behavior.

Germany's embrace of big data is a validation of Germany's "Industrial 4.0" philosophy, and rigorous Germans are more likely to practice and gain the benefits of big sports data than undisciplined South Americans. So what causes big data to be "naïve"?

Let's take a look at what's said: "The players only know the big foot ball and can't control the rhythm." We have no patience, the offense lacks breadth and depth. "There is no such elegance at all for Argentina. It should be noted that the German team was not in line with the team they won a few months ago-the chariot after the World Cup, the withdrawal of the spirit leaders such as RAM and Klose, the lack of leadership of Schweinsteiger, Muller, the injury, the injuries of more than 10 players, the absence of leaders, the lack of sufficient force, It is not difficult to understand the lack of the will of its reign. The accurate analysis, cannot carry out the nature also cannot harvest the anticipated effect.

From the sports big data itself, it may provide the team training, the personnel deployment and the tactical arrangement and so on provides the strategy instruction, but it cannot directly change the player own quality, the domineering also needs the specific role to play. Of course, through the correct model, can predict injury probability, also can make more effective incentive mechanism. However, the strong capital force behind industry 4.0, the nature of profit-taking and risk-taking cannot be changed, and may control the predictions ' ineffectiveness.

Therefore, the implementation of large data projects, need to be flexible and economic, must not ignore the personnel and corporate culture factors. The analysis of large data is relatively rigid, so it can give us a clearer basis for decision-making, and we say people-oriented requires flexibility. A number of business CIOs have said that the biggest drag on cloud computing and big data will be people whose habits and interests lead them to be less receptive to new technology.

Teradata that real-time large data needs to match the large data culture; In addition to platform, large data projects need appropriate personnel skills and process system, so that project management can adapt to the analysis of large data, so that the goal of large data to achieve.

People-oriented, within the organization, do not transition superstition analysis, but also consider the objective ability of personnel and subjective initiative, to Germany as an example, if after a number of consecutive high-intensity confrontation, the old players still remain youthful, the main players will not be injured, it is not a miracle of large data, but a violation of life science.

For external marketing, you need to consider the changes in customer preferences, such as the World Cup at the end of this year, the German shirt should be more popular than now, so SAP said real-time analysis is necessary.

IBM is also adept at this. The blue giant's "emotional tie", demonstrated at its technical summit, is based on the collection and analysis of social media data to judge people's moods, showing them in different colours, and allowing marketers to be more targeted in marketing.

We believe that data can dominate the economy as long as we respect it rather than superstition it is for the data economy.