The rapid development of large data and its application has aroused extensive attention from various circles of society, and people have been thinking and talking about this great change from different perspectives. In order to carry out the work deployment of the State Council on promoting information consumption and expanding domestic demand, taking into account the actual needs of developing large data industry and the great effect of promoting information consumption and stimulating domestic demand, Through the research on the characteristics and development trend of large data-related industries and how to accelerate the development of large data-related industries in China, we think that China is a big data country, but it is not a powerful data country, and large data-related industries will likely become the next frontier of innovation, competition and industry development. In the face of the opportunities and challenges brought by this change, the relevant departments of the State are advised to speed up the organization of relevant projects to vigorously promote the healthy development of industry in this field.
An important opportunity to catch up with developed countries
For half a century, with the full integration of computer technology into the social life, the information explosion has accumulated to a degree of initiation of change, not only the world is full of more than the past, and its growth rate is accelerating. The concept of information explosion, such as astronomy and genetics, which creates large data, is now almost applied to all areas of human intelligence and development. The 21st century is the era of great development of data information, mobile interconnection, social networks, e-commerce and so on greatly expand the boundaries and application of the Internet, all kinds of data are rapidly expanding and growing. The Internet (social, search, Electronic Business), mobile Internet (micro-blog), IoT (sensors, intelligent earth), car networking, GPS, medical imaging, security monitoring, finance (banking, stock market, insurance), Telecommunications (telephone, SMS) are in the crazy data generation, the Big data era has come.
At present, the big data in the world and China show the blowout explosive growth, the large data has penetrated into various industries and business functions, becoming an important production factor, and the evolution of large data has a direct relationship with the improvement of productivity. Its development characteristic, one is the data quantity presents the exponential growth. Second, the large data content and development and application characteristics of different industries are different, such as securities, investment services and banking and other financial services areas have the highest average digital data storage, communications and media companies, public utilities companies and governments and other organizations have significant digital data storage, These industries have the potential to create value through big data. The third is to anticipate that the current trend of large data growth will continue to drive data growth, for example, between departments and regions, enterprises are speeding up the collection of data, driving the growth of traditional transaction databases; In consumer-oriented industries such as health care, the widespread use of multimedia has stimulated large data growth , the widespread popularity of social media and the constant innovation in the application of the Internet of things have further boosted the growth of big data ... These cross drives stimulate data growth and will continue to drive the rapid expansion of the data pool.
The development of large data and related services will become an important opportunity for emerging economies, especially in China, to play a leading role in the strategic emerging industries and overtake developed countries. As long as conditions are in place, developing economies can use large data to exert enormous potential. For example, the region has the largest number of mobile phone users, with the most terminals, with China having the most equipment and personal location data leading in Asia. In addition, in the area of IT assets, while some emerging market organizations lag behind developed markets, developing economies can leapfrog forward with the latest technology. The application of large data is not only business, through user behavior analysis to achieve accurate management, scientific decision-making and human services is a typical application of large data, large data in all walks of life, especially in the field of public service has a broad application prospects, including the consumer industry, financial services, food safety, health care, military, traffic environmental protection, E-commerce, Meteorology and so on. Development of large data industry opportunities valuable potential is enormous. From the perspective of economic and industrial development, the potential of large data and related industry development, China's unique potential and economic and social rapid and stable development, to large data and its application has brought great development space. Large data have great potential and great opportunities in various fields and different industries in China. The core technical progress and large data application of large data may bring new opportunities for the development of China's new strategic industries.
The important thrust of the development of information service industry
Research shows that large data is the next to traditional it to improve productivity of the technology forefront and the development of information services important impetus. The use of large data will be a key ingredient in future competitiveness, productivity, innovation and the creation of a consumer surplus.
such as the health care industry, the ability to use large data to avoid overuse, reduce error treatment, and repeat treatment, thereby reducing system costs, improving efficiency, and improving the quality of treatment; In the field of public administration, large data can be used to effectively promote tax work and improve the service efficiency of the education and employment sectors; The retail sector, Through the use of large data in the supply chain and business, can improve and improve the efficiency of the whole industry; the market and marketing areas can use large data to help consumers find more suitable products within a more reasonable price range to meet their own needs and enhance value-added. Data has become an important factor of production that can be compared with material assets and human assets, and with the development of information technology, enterprises will collect more information, which leads to the exponential growth of data presentation. Big data has tremendous potential to create value for both business and consumers.
Large data applications can play an important economic role, not only in favour of private business activities, but also in favour of the national economy and citizens. The data can create significant value for the 9374.html "> World economy, increase productivity and competitiveness in enterprises and the public sector, and create substantial economic surpluses for consumers." For example, creative and efficient use of large data can improve efficiency and quality. According to the McCarthy study, the potential value of the U.S. medical industry over $300 billion a year on data is expected to reduce US health spending by more than 8%, and retailers that make full use of big data could increase their operating profits by more than 60%. Improved efficiency in government administration through the use of large data. It is estimated that Europe's developed economies can save more than € 100 billion in spending, which does not include the effects that can be used to reduce fraud, errors and tax spreads. Predictably, as people store, assemble, and combine data and then use its results for in-depth analysis, the ability to extract insights from data is significantly improved as more sophisticated software combines with increasing computing power.
Large data and its exploitation and utilization can produce new industrial form and become an important part of strategic emerging industries. Large data production, integration, development and utilization of a wide range of high value-added, can be formed and applied to the key discoveries in various industries, the effective use of large data can create enormous potential value, many industries and business functions of organizations can use large data to improve human and material resources distribution and coordination capacity, reduce waste, increase transparency and to promote the emergence of new ideas and new insights. Its value is to increase transparency, making it easier for stakeholders to access information in a timely manner, such as in the Public Security Department, which makes it easier to access relevant data between separate departments, can significantly reduce search and processing time; In the manufacturing sector, integrating data from research and development, engineering and manufacturing to achieve concurrent engineering, It can significantly shorten time-to-market and improve quality. The second is to find out the need, to expose the variable factors and to improve the performance through experiments. As organizations create and store more digital forms of transactional data and collect more accurate and detailed performance data in real-time or near-real-time, organizations can organize comparative experiments and use data analysis to get better decisions, such as online retailers, Determine price adjustment and promotional activities by testing the combination of traffic and sales. Third, more accurate organization of the market, according to customer needs to segment the population. Using large data enables organizations to make very specific segments of the population to tailor products and services precisely to meet user needs. For example, in the public sector such as public labour institutions, the use of large data to provide job training services for different job seekers ensures that the most effective and efficient interventions are used to bring different people back to work. Four is to help decision-makers make more scientific decisions. Automatic processing of large data can better provide decision-makers with more accurate and appropriate decision support, and replace or support artificial decision making by automatic processing of large data. Some organizations are already making more effective decisions by analyzing the entire dataset of sensors from customers, employees, and even embedded products. Five is the ability to innovate business models, products and services. For example, in the area of health care, preventive health projects targeting the most appropriate groups have been created through the analysis of patient clinical and behavioural data. For example, internet companies collect a lot of online behavioral data and innovate very quickly.
Should organize the implementation of large data industry special
The development of large data and related services is of great significance and is expected to generate more revenue for various industries. With the rapid development of China's economic and social informatization, not only the information industry itself has acquired huge data pool, all industries have the potential to use large data to obtain value. Large data to promote the transformation of information construction mode, structured data to unstructured data evolution, so that the future IT investment focus is no longer the core of the building system, but around large data as the core. Government and business decision-makers should pay great attention to the development strategy and strategy of large data development research.
The real problem with big data is large data applications that make big data more meaningful. At present, large data management is considered from architecture and parallelism to solve the performance requirements of high concurrent data access and the horizontal expansion of data storage, but there is still lack of substantive breakthroughs and progress in the content understanding of unstructured data, which is the core of realizing large data resource, intellectualization and universality. The intelligent processing of unstructured mass information includes natural language understanding, multimedia content understanding, machine learning and so on. For example, March 29, 2012, the White House unveiled the U.S. government's big data plan: by improving the ability to extract knowledge and ideas from large and complex data sets, pledged to help accelerate progress in science and engineering, strengthen national security and change teaching research.
Therefore, we propose to organize the implementation of large-scale data industry, a preliminary idea. One is to expand the emerging information service industry, organize the implementation of large data demonstration, processing, processing, integration and deep processing of information resources and content services demonstration projects, for key industries and key livelihood areas including financial securities, health care, tax customs, transportation, social Security, E-commerce and other fields, To carry out large data application demonstration, enhance the public service capacity based on large data; second, accelerate the development and industrialization of Beidou navigation core technology, promote the integration of Beidou navigation and mobile communication, geographic information, satellite remote sensing, mobile Internet, support the market expansion of position Information Service, perfect Beidou navigation infrastructure, To promote service model and product innovation, in key areas and areas to carry out demonstration applications; third, we will vigorously develop geographic information industry, broaden geographic Information Service market, promote large data technology and service mode integration and innovation, support large data service innovation and business model innovation Four is the organization implementation based on the large data Information content processing service Industry typical demonstration project, including the key technology product industrialization and the big data production, the transformation, the processing, the delivery platform and the specialized tool's industrialization project, provides the support for the rich information consumption content product supply Five is the implementation of autonomous and controllable large data key technology product industrialization project, including business intelligence, Data Warehouse, data mart, metadata, visualization technology.