Big data analysis is one of the foundations of smart government construction. Big data analysis can accurately grasp the changing trend of government services and management and discover new public needs through deep mining and multidimensional analysis of massive data. Effectively support scientific decision-making, precise governance, convenient business services, high efficiency and safety, and provide a solid foundation for the construction of a smart government.
Efficient decision-making is based on an objective and comprehensive understanding of the object, and the application of big data provides important support for this; The efficient use of government big data will also promote relevant government departments, enterprises and institutions to summarize, integrate and analyze market supervision, inspection and testing, illegal and untrustworthy, enterprise production and operation, sales logistics, complaints and reports, consumer rights protection and other data, uniformly publicize enterprise credit information, warn enterprises of misconduct, support the strengthening of supervision and services after the event, and improve the pertinence and effectiveness of supervision and services; With the help of big data, we will realize the transparent management of the government's negative list, power list and responsibility list, improve the big data supervision and technical anti-corruption system, and promote the improvement of government management and public governance.
2. Government big data and universal livelihood services
Combining the development of new urbanization, the implementation of information benefiting the people project and the construction of smart cities, on the basis of strengthening the marketization of big data application, we will guide and encourage enterprises and social institutions to carry out innovative application research, dig deep into public service data, and form demonstration cases of big data application in urban and rural construction, living environment, medical and health care, social assistance, aged care services, employment, social security, quality and safety, culture and education, transportation and tourism, consumer rights protection, urban and rural services and other fields. Promote the integration of traditional public service data with data such as the Internet, mobile Internet and wearable devices, develop various convenience applications, realize the optimal allocation of public resources, and improve the service level.
For example, the platform construction of "Guizhou on the Cloud" started in 20 14 in Guizhou Province, and achieved good results. The provincial online service hall has realized all the three levels of examination and approval service departments in provinces, cities and counties, and initially realized the big examination and approval service pattern of "one network running the whole province".
3. Government Big Data and Commercial Market Space
The government has formed many data resources in the process of performing its duties. Although the amount of data is relatively less than that generated in social and economic life, the value density of government big data is much higher than that of social data resources. This determines that government big data will be a huge gold mine. First of all, many manufacturers will participate in the construction of the ecological environment of the government big data application market, and separate bidding for government big data application and platform construction will become a trend. Obtaining government customer stickiness by building a big data platform is one of the main purposes of its participation in government big data construction, and the government data derivative business based on big data applications has the highest added value.
Big data transactions have also ushered in a huge space for development. On the one hand, big data has been recognized by society as an asset of the new era. Guiyang Big Data Exchange was officially put into operation on 20 15. By the end of 20 15, there were more than 100 companies with access to big data, the total amount of access data exceeded 10PB, and the exchange developed more than 300 members, with a transaction volume exceeding 60 million yuan. It is estimated that by 2020, Guiyang Big Data Exchange will form an average daily data transaction amount of 654.38 billion yuan. On the other hand, big data can accurately understand the laws of things and describe the characteristics of individuals, so as to accurately predict the future individual behavior and development trend of things to some extent. With the increasing role of big data in improving the efficiency and profitability of enterprises, the use of official data will be an important part of big data transactions in the future.
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