Zhengzhou City, the process of informatization construction, in order to improve the government public **** service as the main line of social management, the use of big data technology, innovative management and social services, and constantly meet the modern government management capabilities, big data, a variety of needs to submit an application. After years of searching, exploring, urban grid management information system, community health service information system, social service and management information system and other key business system construction, gradually formed on the basis of the application framework to promote the modernization of the management of big data capacity (known as the "big data framework"), the provision of big data applications in the government and the public * * * service innovation. * Service innovation of big data applications reference.
Big Data Governance Framework to promote the application of modern functionality, based on different types of data sources, data collection and data analysis as a means of basing the source of the means to enhance the promotion of the government's ability to manage society as a focus, the modernization of public **** service capacity, the utilization of social development and modernization of the autonomy of the goal to improve the overall level of the government for the purpose of modern management.
The data source is the premise of big data applications. Without rich data sources, big data will be impossible. Data sources, including internal and interdepartmental data from various government departments, also covers the external data source community.
Data collection is the first major data application. A data repository is formed through data cleansing, integration and consolidation of different sources. Data collection is divided into data aggregation, data correlation, and data updating. Data Aggregation is the data organizing and cleaning, after going to a unified storage system. Data correlation is the establishment of relationships between data. Data is to establish long-term data update mechanism.
Data analysis is an important technical aspect of big data application. Data analysis is divided into summary statistics, analysis, mining and predictive analysis. In accordance with regulatory requirements, statistical analysis and other dimensions, to grasp the overall situation and dynamic statistical summary; mining analysis is based on the relationship between the data model methodology and analysis of statistical results, to discover the hidden data and important value between the internal data. Predictive analytics is based on statistical summaries and mining analysis, providing professional predictive models, combining problem identification development trends, and decision-making references to make recommendations.
Capacity building is the result of governance specific use of data analysis. Capacity building to become a modern public **** service capacity and modern social management functions, including internal and using the sector use. Use in the sector refers primarily to data in the management and service of the sector. Interdepartmental use refers to the analysis of data that will be shared with other government departments*** to support the work of other departments. In addition, there is capacity enhancement, including data ***sharing and information disclosure, of data made available for public use.
The autonomous use of social development and modernization is a polycentric idea of good governance reflected in the utilization of big data. Various social groups can open data resources with the government, processing, development and reuse **** enjoy. Through the formation of new social development and utilization of data, and can generate new sources of government data, updated data to form a virtuous cycle mechanism, Jinpeng information smart government software.