Epoint Government Big Data Solution-Huawei Cloud

Cross-department collaboration: Focus on using data resources, share data to support key services internally, and provide public data resource services.
Theme-specific analysis: Analyze city governance and social service themes to optimize service provisioning, support decision-making, and make the most of data value.
Label system: Build a label system for enterprises and individuals, which matches and precisely pushes information, provides services to data consumers, decision-making assistance for business departments, a data basis for precise policy implementation, and improves policy inclusiveness.
Data services: Feed the required data to applications, visualize data without coding, and quickly build data services to meet service demands and security requirements.

Simplified process for applicants: The unified identity authentication codes of individuals and enterprises are associated to reduce manual input.
Simplified process for affairs: Information required for handling is automatically supplemented based on the definition of the affair the applicant requests handling.
Information verification: The system automatically verifies the applicant's information. Once it gets verified, the system goes to the next step or approves the application, fast and smart.
Proactive, precise push: The system uses big data to create profiles for individuals and enterprises and accurately push affairs and services to them.
Proactive, precise policy push: Policy details are pushed in an intelligent and personalized manner through calculation and matching of user and policy profiles.

Unified data modeling and metadata models: Enable data exchange and sharing across information systems for social governance.
Unified event library: Define clear accountability with unified event templates and department rights and responsibilities.
Cross-service handling: Provide a unified data model and responsibility list to accelerate data flow between service systems and improve handling efficiency.
Public opinion identification: Aggregate data from all sources, cleanse and manage the data, and provide a data basis for public opinion analysis.

Higher-up decision-making: Integrate information of resources and governance forces to provide a data basis for decision-making and commanding.
Analysis and judgment: Collect, cleanse, and manage data to identify, report, and handle risks and issues in a timely manner.
Root cause analysis: Provide data for intelligent analysis through big data services, deeply exploring the root causes of issues and problems and managing them from the source.
Intelligent report: Generate data sources of intelligent reports through governance and analysis of service ticket data, making report generation easier.

Architecture Advantages

Easier data development

Simplify data and algorithm development by providing easy-to-use tools, shortening the period and reducing costs for data governance.
More convenient data services

Analysis tools encapsulate data semantically and explore data value so that users can intuitively understand and use data. Data services convert tags to APIs for applications in one click for service applications to call.
More intelligent data apps

Visualized modeling tools and zero-code data analytics tools continuously improve data value to services, accumulate service models, open data mid-end capabilities to service personnel, and provide intelligent data for upper-layer applications.
Clearer data assets

Two- and three-dimensional integrated display of data and model assets helps data managers take stock of data assets, sort out strategic data resources, and understand the value of data.
More efficient data operations

Support the full-process development and applications of the data mid-end. In addition to providing intelligent data, the platform also shares intelligent data models formed at the analysis layer for data operations and service innovation.

Jiangsu Big Data Center Project (Phase 1)

The customer used this solution to build an integrated provincial platform for data sharing and exchange, connected to national ministries, 96 provincial bureaus, offices, and 13 districts and cities. The platform aggregates 6,894 types of resources and 5.207 billion data records from 77 provincial departments.
Big Data Platform for Huangpu District, Shanghai

The sharing system and data resource catalog promote data resource sharing and collaboration across departments at the city and district levels. The big data platform for the district integrates data collection, management, and sharing, while connecting to the big data platform for the city.

Epoint Government Big Data Solution