How to deal with the tremendous changes brought about by the era of big data?
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Exploring the changes that the big data era will bring to us, first of all, to understand what is big data, and second, to clarify what changes will be brought about by big data, and finally, how to deal with the challenges of the big data era.
What is big data?
International Data Corporation defines four major characteristics of big data: massive data vast, fast data flow and dynamic data systems, diverse data types, and huge data values. From the perspective of massive data scale, the time required for global IP traffic to reach 1 EB is 1 year in 2001, only 1 day in 2013, and only half a day in 2016. Globally generated data is 40% year-on-year, and global information is doubled every two years.
According to the "Digital Universe 2020" report released by the Internet Data Center in 2012, the total amount of global data in 2011 has reached 1.87ZB (1ZB = 10 trillion bytes). If these data are carved into DVDs, the length of the arrangement is It is equivalent to a round-trip distance from the Earth to the moon, and the data is growing at a rate that doubles every two years. It is estimated that by 2020, the total amount of global data will reach 35-40ZB, which will increase by more than 20 times in 10 years.
It should be emphasized that the so-called big data does not only refer to massive data, but more often refers to data that is unstructured, incomplete, and cannot be processed by traditional methods. It is also because of the application of big data technology that Google Inc. can predict the outbreak of the H1N1 flu in 2009 two weeks earlier than the government's public health department.
Clarify what changes have been brought about by big data
Just as the application of power technology is not just as simple as power generation and transmission, but it has triggered a revolution in the entire production model. The “big data†application developed based on Internet technology will be a process of people’s production process and commodity exchange. The subversive impact, data mining and analysis is only a technical means in the whole process of change, and far from the whole of change. The essence of "Big Data" is based on the application of information on the basis of the Internet. Its true "magic power" lies in the integration of informationization and industrialization, which has greatly improved the production efficiency of industrial manufacturing.
In short, “big data†can't produce new material products, nor can it create new market demand, but it can greatly increase productivity. Just as the author of "The Big Data Era: The Great Revolution in Life, Work, and Thinking," by Kenneth Cookee and Victor Meyer-Schoenberg, pointed out that there are three changes in the way data is used: first, people deal with it. The data changes from sample data to all data. Second, because it is full sample data, people have to accept the hybridity of data and give up the pursuit of accuracy. Third, humans give up the cause and effect by processing big data. The desire for relationships turns to concern for each other. All of this represents a human attitude to always say goodbye to the underlying causes behind the way the world works, and moving towards it is only necessary to clarify the links between phenomena and use this information to solve problems.
How to deal with the challenges brought by big data
First, big data will become an important strategic resource for all types of institutions and organizations, and even at the national level.
In the future, big data will become a powerful weapon to enhance the competitiveness of institutions and companies. At a certain level, the competition between enterprises and enterprises has evolved into data competition. The factory buildings and assembly lines that the industry has taken pride in have become servers in the information age. Alibaba Group has tens of thousands of servers, and Google has more than 500,000 servers. Paying attention to the collection, mining, sharing and utilization of data resources has become a top priority.
Second, the publicity and sharing of big data has become the trend of the times, and government departments must take the lead.
In June 2013, the G8 meeting was held in Northern Ireland, UK, and the Open Data Charter was signed, requiring governments to classify data and disclose 14 core data, including: companies, crime and justice, Earth observation, education, energy and the environment. Finance and contract, geospatial, global development, governance accountability and democracy, health, science and research, statistics, social mobility and welfare, and transportation and infrastructure. In July of the same year, the State Council of China requested the promotion of information disclosure in nine key areas. As emphasized by Premier Li Keqiang, the construction of the social credit system includes the construction of government integrity, business integrity, and social integrity. The integrity of government affairs is the core of the construction of the “three major credits†system. The government can make good demonstrations for business operations. . As a market supervisor and manager, the government should bear the brunt of promoting open government affairs and building a credible government. To this end, the State Council passed the "Outline of Social Credit System Construction Planning (2014-2020)", requiring that the credit information held in the administrative management be disclosed in accordance with the law, improve the transparency of decision-making, and lead the integrity building of the whole society with the demonstration of government integrity.
Third, institutional change and global governance have become inevitable choices.
In the industrial age, the Weber-style bureaucratic organizational form formed by a high degree of professional division of labor does have a high efficiency. However, once this specialized division of labor goes to the extreme, it is prone to disadvantages such as excessive division of labor, huge bloatedness, and fragmentation, which cannot effectively cope with new challenges. Big data technology provides a way to solve the problem: in the management process, the data flow generated by management objects and transactions only follows the nature of the data itself and the management requirements, regardless of the division of professional division of labor, conforming to global governance. need.
In 1990, the then Chairman of the International Development Committee, Brandt, first proposed the concept of “global governanceâ€. The so-called global governance refers to solving global political, economic, ecological and security issues through binding international regulations (regimes) and effective international cooperation to maintain a normal international political and economic order. In order to comply with the wave of global governance, China should build its own global governance theory. Deepen research on globalization and global governance and contribute to the world's advanced concepts of global governance.
Of course, to build China's latest global governance theory, it is imperative to build our national governance theory and lay a solid foundation. The "Decision of the Central Committee of the Communist Party of China on Comprehensively Deepening Several Major Issues in Reform" pointed out that "the overall goal of comprehensively deepening reform is to improve and develop the socialist system with Chinese characteristics and promote the modernization of the national governance system and governance capacity." This fully reflects the governance concept of advancing with the times and cuts the core issues in the operation of our country. (China Social Science Evaluation Center Jing Linbo)