Using Big Data to Understand Big Data
This report comprehensively brings together more than 30 categories, totaling more than 4 billion pieces of relevant data held by the National Development and Reform Commission's Center for Analysis of Big Data on the Internet, the State Information Center, and the "One Belt, One Road" Big Data Center, comprehensively applying a variety of big data analysis methods, and provides a comprehensive overview of the development of China's big data industry. China's big data industry development has been comprehensively analyzed. Therefore, it is called using big data to understand big data.
Beijing, Guangdong, Shanghai big data development in the top three
The report shows that China's big data development is generally in its infancy. But it's interesting to look at it geographically.
Yu Shiyang, deputy director of the National Information Center's Informatization Research Department and president of the South China Sea Big Data Application Research Institute, pointed out: "From the geographical distribution, from the provinces, Beijing ranked first, this is not surprising, the eastern coastal areas of these provinces in the front, we can imagine. But in the southwest, Sichuan, Chongqing, Guizhou, these three places to rise, is our second growth pole of big data development."
Industrial backwardness is the outstanding short board of local big data development
Specifically, the ranking of the big data development index of the provinces, Guizhou, Chongqing, Sichuan, followed by the eastern coastal provinces, all ranked in the top ten, ahead of any central provinces. Analysis suggests that this is mainly the result of local policy leadership. The three western provinces and cities, early on the development of big data industry as a key project to build. For this "bend the road to overtake" phenomenon, National School of Administration Professor Wang Yukai suggested that these places can focus on the next step to consider the problem of industrial landing: "They are the first to seize a concept, and then took a head start. But relatively few industrial applications can be landed, which is their weakness. So I think you must pay attention to the application, to build your advantage."
The talent shortage is becoming increasingly prominent
The report points out that more loopholes in the data management chain is the primary problem facing the development of big data, including the resulting difficulties such as excessively high operating costs, low resource utilization, and overly complex application deployment. And we are more concerned about the other major problem.
We will find that the data in the field of big data is available, but the people who can harness this data is extremely scarce. For example, in terms of big data professionals, now the analytical talent, the market is in short supply, the gap is very large, while the project management class of talent, the supply is far greater than the demand, so the structure is not balanced. High-end talent is in short supply, which is the most prominent problem."
Development of big data should be careful to prevent talent "high and low"
The core of big data is the capture and analysis of data, and the analysis link, it is impossible to manually set up variables and establish models. The so-called "a tiny difference, the fallacy of a thousand miles", big data analysis of talent requirements are very high. But the first big data development report reveals that China's big data talent can engage in the management of a lot of people, can really do the analysis is far from enough, which is typical of the "eye high, low", is bound to hurt the long-term development of the big data industry. Talent short board can start to make up from the education aspect, explore new talent training mode. For example, the college big data series of courses are divided into theoretical teaching and technical teaching in two aspects; such as social quality focus on big data talent training institutions and other aspects.