Large data: Strategic resources worth digging

In the era of cloud computing, data production costs have plummeted, with unstructured, semi-structured-type data exploding, creating a huge, promising new industry in the big data economy.

Large data is a collection of all the data, with 4V features, namely large data (Volume), Data type diversity (produced), rapid generation (velocity), and significant value. According to statistics published by authorities in 2011, global data volumes have increased by one-fold every two years, with a staggering 35 trillion GB of total data expected by 2020. New data, more than 90% of the traditional technology is difficult to deal with unstructured data, such as audio and video, pictures, web pages and so on. The value of large data often has a strong timeliness, if the specific time can not complete processing, a lot of practical value will disappear, such as meteorological data.

Large data technology is the software, hardware and service technology needed to get information from massive and complex data. The technology can provide intellectual support for activities in social, political, economic, cultural and other fields, and has far-reaching influence on human's decision-making mode and social economic operation mode.

Large data technology can effectively improve the enterprise's data resource utilization ability, improve the conversion rate from data to information, make the enterprise decision-making more accurate, thus improve the overall operational efficiency. The University of Texas has conducted extensive research on data utilization and per capita productivity of various industries and large enterprises, and the results show that the data utilization rate is increased by 10%, the average output of the Fortune 100 companies is increased by 14.4%, and the retail and advisory services industry per capita output increases by 49% and 39% respectively, even if food In traditional industries such as steel, output per capita can increase by more than 20%. Large data technology can also help enterprises to open up new business forms. Traditional banks because of high cost, risk, has been reluctant to provide loans to small and medium-sized enterprises, but Alibaba 2010 Taobao SME invincible Eye loans, the cumulative bad debt rate has only 1.94%, and the profit is considerable, the reason is Alibaba through Taobao customer transaction records analysis, Be able to accurately assess the credit rating of each merchant at a very low cost.

Large data technology can help the government to innovate the social management model and improve the public service ability. The US police department has used large data technology to analyze variables such as historical arrest patterns, payroll days, sports events, rainfall and holidays, to optimize police deployment. Large data technology can play a greater role in the judgment and response of sudden events. The March 2011 National Oceanic and Atmospheric Administration (NOAA), with the support of large data technology, issued a detailed tsunami warning 9 minutes after the earthquake in Japan, developed detailed contingency plans, produced a tsunami impact model posted on YouTube and other sites, as a model for government response to sudden disasters.

In short, large data is a matter of national social development of the overall industry. A new round of industrial competitions with large data at the core of the world has opened up the curtain. The United States has announced big data research and development programs, with investment of $200 million trillion in 2012 alone. According to statistics, 2010-2015 the world's largest data market composite growth of more than 50%, 2015 will be more than 17 billion U.S. dollars, and China's largest market potential, the prospect of nearly 2 trillion yuan.

For China, the overall transformation of the mode of social and economic development is "Twelve-Five" or even longer period of strategic tasks, large data industry for the completion of this strategic task is significant, need the government from the overall perspective of the overall planning.

In China, the Internet is a large data technology development and application of the fastest field, to Baidu, Taobao and other representative operators have begun to take shape, the services provided by the public has become the main source of experience and understanding of large data. But more important than the Internet, is the industry application. First of all, the popularization of large data technology in the field of industry is the process of upgrading the traditional economic form, which has a more direct effect on social transformation and upgrading, and secondly, the overall scale of industry customers is many times the Internet, is the main part of the market. After many years of information construction in China, accumulated a large number of data assets, various industry organizations are urgent to transform data into external services, into business competitiveness.

The industry application of large data is different from the Internet, will face many new technical challenge, need industry colleague work together.

(Responsible editor: The good of the Legacy)