Big data gives city management a "basis" to follow

Large data This word has already been red through half the sky, from the big data to film, TV, to large data medical, and then to large data betting on the college entrance exam composition questions, it seems that large data has become a universal tool, everywhere, omnipotent. So, in the interests of diversity, social needs of diverse public decision-making and public service areas, large data can also be a show of skill, so that all policies are based on, there are "number" to follow, big data decisions from us how far?

Everything in the world has big data.

At the beginning of this year, the "two-child" policy of concern the Director of the National Health and Family Planning Commission propaganda Department, spokesman Mao has revealed that for the introduction of this policy, the relevant agencies and departments for nearly 10 years of research, the population policy to take any adjustment has been carried out data simulation.

Mao's data simulations mentioned here are actually one of the big data decisions. Subsequent data analysis and support was provided as a project entitled "National population macro management and decision Information System (PADIS)". Relying on the national E-government Network platform, PADIS system integrates data from public security, statistics, civil affairs, health, taxation, education, labor and social security, resources, environment, agriculture, construction and other departments, and can build a virtual community in the computer. In this small society, the birth of a newborn, the schooling of a child, the employment of a college student after graduation, and the adult's marital status equal to that of the population are all reflected. Only by inputting specific policies into computers can we see the impact of these policies over the years, decades, and even years.

Large data can also be used in urban traffic planning. Padis also had a predictive analysis of the traffic congestion problem in a city. With the opinion that the number of population and motor vehicles should be limited, the traditional view of speeding up the development of public transport is different, Padis's forecast results show that the serious deviation of the population concentrated residential area and economic center is the root cause of increasing attendance demand and deteriorating traffic, simply adding public transport facilities and controlling the car is only Yantang. To this end, Padis's "prescription" is to improve urban planning and management, so that the city to a more central direction.

In addition to helping the Government to adjust its birth control policy and plan traffic, the system can also provide its own "insights" on hot spots such as delayed retirement, pension gap, environmental governance and rising house prices by virtue of its massive data and powerful predictive capacity, covering all aspects of our lives.

Data to rely on people or data

The beauty of large data is the ability to gain valuable products or insights in an unprecedented way through an analysis of massive data. So does it mean that you can trust the computer completely and let the data and software help us make decisions?

The answer is, of course, negative. Padis System Project Technical Director, Shenzhou Digital Information Service Co., Ltd. Big data chief expert Swentian that there is no and should not create an automated decision system. Big data, he says, can only be used to aid decision-making and not to replace decisions. Summing up these years of experience, the best system should be the perfect combination of man and computer. Large data applications are very strong and will be more powerful, Shenzhou information based on large data research and development of Intelligent City integrated decision-making system can realize economy, traffic, environmental pollution and other policy simulation analysis and other functions, but it is still only an auxiliary decision-making system. Like population forecasts, in the face of the problems that need to be solved, based on the large number of Bureau and modeling analysis can only choose options, and their possible impact to the decision makers, the final adoption of which, how to implement, how much effort by the decision makers in combination with various factors.

Swentian said: "In the case of the ' single two children ' policy, although the policy is only a small step forward, but for the government's scientific decision-making, this is a big step." Reflects the government in the management concept and governance model changes. ”

Lean data rich ore data used well is good data

The Internet Queen Mary Ike, in the 2014 Internet Trends Report, specifically raised the big data, thinking that in the 2014 the big data will be more practical and closer to ordinary people's lives than ever before. Some new services that rely on interpreting data to provide solutions are starting to emerge, and the trend toward big data to solve big problems is emerging. She also found that 34% of the information in the existing generic data was worth studying, but only 7% of the data was tagged and only 1% were analyzed. While data acquisition is important, the lack of data is meaningless.

Therefore, it can be said that the real value of "Big data" lies in mining and analysis. "Big data is not only large in number but also big in value," Swentian said: "The real value of large data is not a vast collection of data, but the correlation between finding the data, discovering the rules behind them, and serving to solve practical problems." As with minerals, the data also have a lean bonanza. In the current situation, especially in the construction of intelligent city, we should pay attention to how to activate the existing data stock, with a good large data increment, to enhance the city's public service capacity and management decision-making level. ”