The hottest big data shapes new national competiti

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Big data: shaping new national competitive advantages

data is becoming a new oil and a strategic commanding point for shaping national core competitiveness. After several years of rapid development, China has become a big data country

according to the data, in 2015, China's total data volume accounted for 13% of the global total data volume. By 2020, China's total data volume will account for 21% of the global total data volume. At that time, China will become the world's largest data resource country and the global data center. At the same time, in recent years, China's big data related policies have been issued one after another, big data-driven emerging companies are emerging, and the application development trend of data-driven economic transformation and precise governance is taking shape

big data has become a national strategy

the country attaches great importance to the development of big data industry and has formulated a series of big data related policies. On September 5th, 2015, the State Council officially issued the action outline for promoting big data development (hereinafter referred to as the outline), which means that big data development has officially become a national strategy

the outline points out that by the end of 2017, a shared pattern of cross departmental data resources will be formed, and by the end of 2018, a unified and open platform for national government data will be built. By the end of 2020, we will gradually open government data sets in areas related to people's livelihood security services such as credit and transportation to the public

in January 2017, the Ministry of industry and information technology officially issued the big data industry development plan (year) (hereinafter referred to as the plan), comprehensively deployed the big data industry development during the "13th five year plan" period, accelerated the construction of a data power, and provided strong industrial support for the realization of a manufacturing power and a networking power

in September 2016, the State Council issued the Interim Measures for the management of government information resource sharing (hereinafter referred to as the measures). The measures point out that it is necessary to accelerate the interconnection of government information systems and public data sharing, give full play to the important role of government information resource sharing in deepening reform, transforming functions and innovating management, enhance the credibility of the government, improve administrative efficiency and improve service levels

so far, environmental protection, land and resources, transportation, agriculture, health and family planning, taxation, procuratorial and other departments have issued relevant specific policies for big data development, 17 provinces and cities have issued big data development plans, and more than a dozen provinces and cities have set up big data management bureaus to integrate resources, comprehensively promote big data related work, and guide the development of big data industry

the big data policy has been gradually extended from comprehensive and overall planning to segmented industries and fields, and the policy environment adapted to the development of big data has taken shape

accelerate the construction of a data power

China's total data volume is growing at an average annual rate of 50%, which provides a solid foundation for the development of the big data industry

to develop big data industry and promote data economy, data sharing is the basis for all development. At present, 70% of the data in China are concentrated in government departments. In june2012, Shanghai launched the first government data open platform Shanghai government data service. Since then, Beijing government data resources, Guangdong data service and Guizhou government data open platform have been launched one after another. So far, more than 20 local governments have successively launched data open platforms. There are 84000 government stations open to the public nationwide

as a new economic form, the big data industry needs to be tested and explored in institutional innovation, open data sharing, innovative application of big data, industrial agglomeration of big data, circulation of big data elements, integrated utilization of data centers, international exchange and cooperation of big data to promote the development of big data

after the introduction of the outline, the Ministry of industry and information technology, the national development and Reform Commission and the central information office launched the construction of the national big data comprehensive test area. So far, eight national big data comprehensive test areas have been formed in Guizhou, Beijing Tianjin Hebei, the Pearl River Delta, Shanghai, Henan, Chongqing, Inner Mongolia and Shenyang. In combination with their own advantages and characteristics, each comprehensive experimental zone has actively carried out experimental exploration in planning and design, innovation, application exploration in key industries and infrastructure construction, and made significant progress. As an engine of economic development, big data plays a huge role. Take Guizhou as an example. So far, the total number of high-level talents in Guiyang has reached 70000, and the total number of big data talents has reached 142000. During the 12th Five Year Plan period, the number of Industrial Enterprises above Designated Size in Guizhou Province increased from 2963 at the end of the 11th five year plan to 3685 in 2014, and the total output value increased from 420.6 billion yuan to 959.8 billion yuan

to build a data power, release data dividends, cultivate new engines of economic development and new advantages in international competition, it is necessary to solve various key technical problems in the process of big data application. In february2017, the construction of 13 national big data laboratories was launched around the basic and applied technologies of big data. These laboratories gather resources of production, learning, research and utilization in China's big data field to accelerate the breakthrough of key technologies of China's big data by means of joint research and development and collaborative innovation

sunjiaguang, director of the National Engineering Laboratory of big data system software and academician of Tsinghua University, said that as a national big data system software R & D platform, we should solve the challenges of China's big data application needs on the performance, ease of use and credibility of the underlying system software, develop a big data system software ecosystem and tool stack that are "easy to use, effective and dare to use", and realize the transformation of big data from elite to civilian, Let big data enter all industries and households

the big data industry chain has many participants and covers a wide range. According to the product form, it is mainly divided into three areas: hardware, basic software and application software. According to the big data white paper, at present, China's big data industry is growing rapidly, the industrial scale continues to increase, and data services, basic support and integrated applications are integrated to build a complete big data industry chain

as the core link of the whole big data industry chain, the scale of the basic support layer is expected to be 224.6 billion yuan in 2017, an increase of 68.2%; The convergence application layer is the focus of the rapid development of the big data industry in the future. It is estimated that the scale in 2017 will be 1699.8 billion yuan, with a growth rate of 30.7%; Focusing on the needs of various big data applications and the auxiliary services provided by the data service layer, it is estimated that the scale in 2017 will be 32.6 billion yuan, with a growth rate of 60.6%

the analysis report on the development prospect and investment strategic planning of China's big data industry from 2017 to 2022 shows that China's big data industry market will continue to maintain high growth in the next five years through in-depth research on the 1-type gear pump extruder by the rubber and Plastic Machinery Research Institute of Beijing University of Chemical Technology. By 2020, the scale of China's big data industry may reach 1362.6 billion yuan

due to open data and strong application demand, a large number of "mass entrepreneurship and innovation" small and medium-sized enterprises have emerged. From 2012 to 2016, there were 1600 big data investment events, with an amount of more than 120billion yuan. The total amount of investment in big data has been rising. In 2016, the number of enterprises that obtained financing to select fixture types according to the tested items reached more than 400. In the first three months of 2017, more than 150 enterprises obtained financing. In recent years, half of them were Chinese companies, and their capital has been continuously invested in the field of large data

big data applications promote transformation and upgrading

in recent years, big data applications have sprung up in China, promoting transformation and upgrading in various fields

in the financial field, Alibaba has used big data to create an Alibaba credit loan with 10 seconds of application, 1 minute of evaluation and 3 hours of lending. At present, big data technology is mainly used in credit investigation, risk control, anti fraud and quantitative investment in the financial industry

in 2016, commercial banks fully deployed big data infrastructure. The five major state-owned banks, joint-stock banks, urban commercial banks and rural commercial banks have gradually started the transformation process from traditional data warehouse architecture to big data platform architecture. The "second loan" business based on big data risk control has become more and more popular, not only improving the loan efficiency, but also expanding the coverage of Inclusive Finance

in the telecommunications field, Chinatelecom's big data platform has expanded to 31 provinces, converging the basic data of the country and forming the "Tianyi big data" service capability; China Unicom has also realized data integration. The big data product system has launched six product categories, including credit investigation, index and marketing

China Mobile has built an anti telecom network fraud prevention technology system based on big data, realizing parallel filtering and screening 20000 times per second, and identifying more than onebillion times of suspected fraud data every day. Within 2-10 minutes, it can identify the market number source, source region, victim concentration area, etc., and realize the highest risk level and real-time blocking of the overseas abnormal number source with the greatest impact. The health cloud platform built by China Mobile has built a new medical health data cloud, saving tens of millions of yuan for local medical expenditure

in the agricultural field, big data is mainly used in crop yield estimation, drought assessment, crop growth monitoring and other fields. If we combine remote sensing data, meteorological data and farmland historical data, we can turn farmers' "watching the weather and eating" into "knowing the weather and making decisions", and guide farmers' 50 farming decisions in the process from seed entry to harvest. It can also help agricultural insurance companies delimit approved plots, assess the degree of disaster, formulate claim settlement standards, and provide accurate forecasts for agricultural futures operations. At present, digital China has formed a "three rural ecosystem" driven by data for agricultural development. At present, it has covered 31 provinces, more than 2000 counties and 450000 villages in China

in the medical and health field, big data is mainly used in gene sequencing, medical file integration and analysis, doctor-patient communication, medical institution digitalization, new drug development and other links in the medical industry. BGI uses big data to provide services such as personal whole genome sequencing and susceptibility gene detection. Yidu cloud and large hospitals jointly build a "medical big data" platform to improve hospital efficiency. During the "12th Five Year Plan" period, China has successively deployed "Research on standardized diagnosis and treatment of cancer based on cancer monitoring information network" and "Research on big data processing, analysis and application of malignant tumor". Taking the national esophageal cancer standardized diagnosis and treatment monitoring network platform as an example, 12 regional sub centers have been set up throughout the country, in conjunction with 82 class III hospitals, to achieve that 90% of esophageal cancer meets the requirements of standardized diagnosis and treatment

in manufacturing, data can enable the whole process of manufacturing. It will play an important role in product design and R & D, targeted and accurate marketing, product planning and production scheduling, optimizing the supply chain, and improving the service level to customers. Hongling suit has realized personalized customization by using big data. Sofia wardrobe has created a C2B business model by using data. More and more enterprises are using industrial interconnection and data to accelerate the transformation and upgrading of the manufacturing industry

in the field of e-government, "let data run more and let people run less" is becoming a reality. In the real estate registration hall of Liangjiang New District, Chongqing, it used to take at least half a day to go through the transfer procedures for second-hand housing transactions. The sales contract has 8 pages and about 114 blank spaces need to be filled in manually. Now the sales contract has only a thin page and a total of 12 blank spaces need to be filled in. In Guangzhou, in the past, you had to go back and forth six times to apply for a business license only in the process of industrial and commercial registration. Now you only need to go once to complete it. Using big data, government departments such as industry and commerce, finance, civil affairs, audit, taxation, parks, statistics, agriculture, etc

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