Integrated government big data platform
Focusing on the whole life cycle of data, we will open up ecological co-construction and sharing channels, help business model innovation, and promote cross-system, cross-departmental, and cross-level integration and sharing of data.
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About the integrated government big data platform
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Business challenges
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Advantages of cloud migration
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Business scenarios
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Customer cases
About the integrated government big data platform
Through real-time data exchange, data security, blockchain and other technologies, we will build a government big data platform with capabilities such as real-time aggregation of global data, full-link intelligent data governance, instantiable component knowledge base, unified digital asset management and operation, and full-life cycle data security assurance, so as to realize the capabilities such as large-scale data aggregation, diversified processing, and timeliness flow security and credibility.
Business challenges
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The system of standards and norms for government affairs data is not yet complete
In the development and utilization of data, a lot of manpower and financial resources are required to clean and compare data, which greatly increases operating costs, and it is urgent to build and improve a unified government data standard system for local governments.
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The level of government data support and application needs to be improved urgently
Problems such as lack of governance and untimely update of government data are more prominent, and it is difficult to meet the comprehensive data needs of cross-region and cross-level, and there is a lack of strong tools and institutional support for the management and scheduling of data resources throughout their life cycle.
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The connection between supply and demand for government data sharing is insufficient
Although all levels of government affairs data management departments have initially established mechanisms for data demand aggregation and management in response to data sharing needs, they have not yet fully established effective management methods such as demand aggregation, assessment, and governance.
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The mechanism for the overall planning and management of government affairs data needs to be improved
There are problems such as repeated collection of government affairs data and multiple entries in the system. In some areas, the construction and management of the platform are not coordinated, there is a lack of overall planning, and there is a lack of integrated operation mechanism.
Advantages of cloud migration
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Improve the level of data security operation and maintenanceRelying on normalized data security detection and technical protection methods, with the associated management of “people, data, and scenarios” as the core, work responsibility mechanisms and data security assurance systems have been established and improved. Real-time perception of various threat events, timely blocking of high-risk operations, and improvement of security protection and monitoring level.
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Promote the “standardized operation” of digital resourcesBuild a full-process digital and quantifiable evaluation system for the efficiency and application effectiveness of digital resources, gradually improve standards and specifications, continue to promote the implementation of standards and specifications, promote the continuous operation of digital resources, and promote the continuous improvement of the quality of informatization construction.
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Deepen the governance and circulation of government data resourcesRealize the quality control of the whole life cycle of government data, and form an integrated government data resource system with overall management, orderly scheduling, and reasonable distribution; Build a unified data sharing and exchange system, establish a safe, stable, and efficient data supply chain, and promote the integration and circulation of data resources.
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Realize the efficient coordination of government digital resourcesIn response to the needs of various digital resources and tools, establish a digital resource market, and realize “one-stop” browsing, “one-package” application, and “integrated” scheduling of digital resources on the premise of ensuring data security and privacy, so as to realize the efficient allocation and high-quality supply of data resources.
Business scenarios
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Grassroots business empowerment
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Open public data
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Data sharing and exchange
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Machine learning
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Through the grassroots data empowerment platform, focusing on people, places, things, events, and situations, we can find out the status quo of grassroots data and applications, build a grassroots data governance database, and provide comprehensive governance service capabilities of data, models, and tools for the grassroots level.
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Establish a wide-ranging, unified, standardized, and interconnected data open website, focusing on the needs of people’s livelihood services, realizing the centralized, orderly opening, and standardized use of open data to the public, and enhancing the level of effective use and in-depth development of public data.
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It provides big data analysis capabilities, data visualization and big data display capabilities, and displays the macro operation situation of various fields based on big data technologies such as multi-dimensional data analysis and data mining, and based on the data gathered by the sharing and exchange platform.
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It provides full lifecycle services from model development to deployment, and provides algorithm-enabled services for industry, smart city, water conservancy, government, agriculture and other industries, helping enterprises quickly realize intelligent transformation.
Customer cases
Improve service level with cloud computing technology and lead economic development
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Shanghai Natural Person Relationship Database
By providing an authoritative basis for judging the kinship of natural persons, it satisfies the needs of verifying the kinship certification materials, the processing needs of business departments, and the needs of social circulation of natural persons in government service matters.
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Haozhou “City Brain”
Relying on the digital urban management entity hall, an architecture system is designed scientifically, including 1 data lake, 4 middle platforms of data middle platform, technology middle platform, business middle platform, and IoT sensing middle platform, 1 urban operation and management center, and 40 application scenarios in 7 major fields such as panoramic Haozhou, digital government, and industrial development, aiming to build a new smart city.
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Integrated big data platform of Shandong Province
Bring all public data resources into unified management, and promote the joint construction, sharing, and use of data, algorithms, services, etc. Build a general portal for data services, build a number of service platforms that integrate data modeling, privacy computing, data analysis and visualization, and build a cross-level, cross-departmental, and cross-business “multi-tenant” service system.
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National data sharing and exchange platform
It provides data support for the data aggregation of “Internet + supervision”, the opening of 100 blockages in government services, the reform of individual income tax, the reform of real estate, and the sharing and exchange of epidemic health code data.
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