In the era of big data, whoever owns data will have wealth.

The development of data service industry and the improvement of data application level are inseparable from professional intelligence analysts.

Generally speaking, big data can be divided into three types: enterprise data, public authority data and open source network data. The mining and application value of the first two are limited. At present, all countries in the world attach importance to open source network data.

Excavate the value of big data and obtain accurate and reliable information of target objects (people, events, institutions, projects, etc.). ), intelligence analysts need to make full use of their own technology, methods, experience and means to establish and clarify the internal logical relationship of investigation tasks. Only through comprehensive judgment can we find out the value from the complicated and redundant data.

Big data is an inexhaustible "diamond mine". With the development of science and technology, everyone's life is closely related to big data. At the same time, as national policies pay more and more attention to cutting-edge technologies such as big data, the big data industry has gradually formed a trillion-dollar market.

By the end of 20 18, Guiyang, the capital of Guizhou Province, which is committed to building a "China Valley", is promoting the deep integration of big data and related fields. Chen Yan, deputy to the National People's Congress and mayor of Guiyang, said that there are 10 big data industrial parks and 1632 big data enterprises in Guiyang, and the annual income of the main business of the enterprises is10 billion yuan. In promoting big data, real economy and social governance, Guiyang has "melted" new kinetic energy, new prospects, new life and new efficiency. Guiyang municipal government data has been shared and exchanged with100% * *, and more than 6180,000 pieces of data have been opened to the public free of charge.

Based on the profound impact of big data on various industries, in recent years, major developed economies such as the United States, the European Union and Japan are actively promoting their own big data strategies. In 2009, the American Council of Scientists (NSTC) released the report "Harnessing the Power of Digital Data", which initially proposed a framework for developing big data. The Obama administration also strongly supports the big data industry and helps the United States gain a leading position in the world. The White Paper on Big Data (20 16) shows that the global big data core industry scale was about 30 billion US dollars in 20 16, and it is expected to reach nearly 60 billion US dollars in 2020.

China also regards big data as an important support for the new economy. 20 14 "big data" first appeared in the government work report, which laid a policy foundation for the rapid development of the industry. 20 17? In, the Ministry of Industry and Information Technology issued the Big Data Industry Development Plan (20 16-2020? Year), fully deploy the development of big data industry during the 13 th Five-Year Plan period. Development and Reform Commission, Ministry of Industry and Information Technology, Ministry of Agriculture, Ministry of Transport and other ministries have successively issued relevant follow-up policies to promote the development of big data industry. It is expected that more departments will introduce corresponding specific policies in the future to promote the development of the big data industry.

According to the data of China ICT Institute, the scale of China's big data industry (including data resource construction, big data software and hardware product development, sales and leasing, and related information technology services) was 470 billion yuan in 20 17, up 30% year-on-year. It is estimated that this scale will exceed 1 trillion in 2020, with a compound annual growth rate of nearly 30%. Among them, the scale of big data core industry was 23.4 billion yuan in 20 17, up 39% year-on-year, and it is expected to be 32.9 billion yuan in 20 18.

At present, the amount of financial data in China ranks first in the world, in which the amount of financial industry data is an important contributor and user of data, and Internet finance accounts for a considerable proportion. Active trading accounts and transactions have contributed a lot of valuable data to the financial field.

Affected by internet finance, big data in the financial industry has also ushered in rapid development, and big data is being widely used in the financial industry. In addition to traditional risk management, operation management and business innovation, the application of big data in the financial industry has shown a new trend in recent years, mainly including high-frequency financial transactions, microfinance, P2P lending audit, customer management and precision marketing.

With the continuous development and application of big data, institutions and enterprises in the financial big data industry will compete around the establishment of a new financial environment in the future, mainly around the competition at the three levels of ecosystem, strategy and products, and thus determine the market position and competitiveness of enterprises in the financial industry. Therefore, financial institutions and internet companies will not be limited to a certain level of development, but prefer multi-dimensional and multi-level layout.

In addition, A-share listed companies are widely distributed in various fields of the big data industry. At present, there are 1 18 targets in the A-share big data concept sector, but the number of leading enterprises with strong liquidity in each segment is very small. For some companies with hyped concepts and no core technical capabilities, investors will easily suffer losses due to changes in the market environment.

IT can be seen that the further development of big data urgently needs comprehensive solution providers, focusing on using the most advanced IT technology in the contemporary era, promoting the innovative development of enterprises and government departments in management and business models, and providing comprehensive solutions, including operational support, big data and mobile Internet solutions. Finally, a comprehensive layout of big data of telecom+government+finance will be formed.

The financial big data is endogenous and extended, and the business develops synergistically. In traditional big data services such as public security and operators, research and development of big data platforms and application technologies can be carried out, and then the experience can be quickly copied to other fields such as finance and agriculture. Form a strong synergistic effect.

Big data is the future development trend. Now everyone can talk about a little bit of big data. Any industry can be directly or indirectly related to big data, but there are only a handful of companies that really apply big data technology professionally, and it is even more difficult to distinguish those companies that really have the ability to realize big data business.

In the era of information explosion, it is not easy to discover the truth behind it through big data.

There is a specialization in the industry. As an enterprise, it is necessary to consciously cultivate professionals such as big data technology and intelligence analysts, while as an individual, it is necessary to consciously cultivate the thinking of intelligence analysts, so that big data can really be used for itself, so as not to be eliminated in future market competition.

In the future, everyone will be inseparable from the analysis of data.