Based on the SDC Govern big data governance platform, we leverage its data resource management capabilities to organize the data resources of various commissions, offices, and bureaus, thereby creating a government data resource catalog; we utilize its data integration capabilities to aggregate data from these entities; Using data warehouse capabilities, rapidly build foundational databases—such as those for population, legal entities, macroeconomics, and electronic certificates—to create application themes including city profiles, urban events, emergency management, and urban civilization; using tag management capabilities, perform profiling and analysis of cities, populations, and legal entities; and using data service capabilities, rapidly facilitate the sharing and exchange of government data assets.

By collecting and analyzing real-time and benchmark values of various key urban indicators, we will establish a city-level urban vital signs system centered on the four major areas of "public safety, public administration, public services, and economic operations." This system will enable the monitoring, early warning, and response to the urban organism, and will promote the gradual refinement of the vital signs indicator system at each level in accordance with urban operation and management requirements.

By establishing the Group's big data center and leveraging capabilities such as data integration, data development, and data standardization, we have improved the quality of data aggregated from airport operations and established a data asset system. We have built thematic databases, specialized databases, and indicator databases tailored to the operational, safety, passenger, logistics, and management domains, enabling tiered and domain-specific data management to meet the data needs related to flights, aircraft, personnel, departments, suppliers, and customers.

We have organized the data resource catalogs for information systems—including those for food waste collection and transportation, urban lighting monitoring, and road and bridge management—and unified the entry and exit points for urban management data resources, thereby establishing a data service platform that integrates data aggregation, governance, and sharing. We have completed the development of four local standards for basic data specifications in smart city management, covering roads and bridges, lighting, sanitation, and law enforcement. By performing collision analysis, data mining, and correlation analysis on data such as vehicles, trajectories, roads, and disposal site locations, the system enables visual early warnings and precise deployment of resources for urban management.

Based on the financial industry's business models, we will establish enterprise-wide data standards and develop management processes; define the technical and business rules for key business systems; and help improve data quality. We will streamline metric standards, unify business definitions, and define an enterprise-wide metric model. We will enable the visualization and retrieval of data assets to enhance users’ decision-making insights.

Accelerate the integration of the Provincial Department of Agriculture and Rural Affair's information platforms, eliminate information silos, establish a standardized framework for the Provincial Department of Agriculture and Rural Affairs, and create a management mechanism based on the principles of "using data to speak, make decisions, manage, and innovate".Carry out the consolidation and development of information systems and information resources to achieve "clear data and a clear understanding of the current situation."

Based on more than 30 documents in the Ministry of Public Security’s series of big data processing standards, the system handles the multi-source, heterogeneous big data generated by various police units across the public security sector through data ingestion, storage, processing, and governance. It constructs five major thematic databases—raw data, resources, general topics, specialized topics, and knowledge—and uses a big data service bus to provide secure, stable, and efficient data services to surrounding business systems, thereby fully leveraging the value of existing data assets.