Recently, the National Data Bureau released the draft of the "Data Elements" Three-Year Action Plan (2024-2026) (hereinafter referred to as the "Action Plan"), which aims to transform China's advantages in data basic resources into new advantages for economic development by promoting the multiplier effect of data in multiple scenarios. The application areas of data elements involved in the action plan include key areas and scenarios such as intelligent manufacturing, smart agriculture, commercial circulation, transportation, and financial services.
As a complex ecology integrating industrial economic development, business activities, public work and life, the park contains huge potential and value in various levels and first-class data. The use of these park data resources will help the management department to accurately understand the industrial base, industrial positioning, industrial development trend, and the current situation of industrial energy conservation and emission reduction, provide assistance for leadership decision-making, and promote the development of regional and park industries. In addition, these data can also provide industrial and park industry information support for regional industries and enterprises within the park, help enterprises improve the efficiency of production, operation and operation, and realize the organic integration of carbon management and production management.
So, what are the specific aspects of the data elements in the park?Let's take a look.
#Industry data
Industrial data includes industrial digital maps, industrial correlation networks, industrial structure maps, industrial development indexes, etc.
Digital map of the industryIt is a visual expression of the internal and external relationships of the industry to help managers understand the relationship between industry classification and industrial chain, the relationship between industry and resources and environment, the main enterprises and spatial layout in the industry, etc.
Industry-related networksAccording to the authorized VAT invoice and other data, the industrial chain association network can be constructed through the invoice input and output data, comprehensively and objectively interpret the regional industrial structure, express the first-chain relationship at the micro level, express the industrial chain relationship at the meso level, and express the regional economic relevance at the regional level, comprehensively analyze the position of the park in the overall industrial chain, and provide support for the analysis of regional industrial association and industrial chain investment.
Industrial Structure AtlasIt expresses the quantitative proportion and structural relationship of each link (or between industries) within the industry, as well as the evolution trend of the industrial structure, analyzes the industrial panorama through the industrial structure map, and analyzes it from the perspective of the country, provinces, municipalities and parks, so as to help managers control the development of the industry and help key industries to strengthen, supplement, extend and strengthen the chain.
Industrial Development IndexCombined with specific application scenarios, analysis objectives and business theories, the chaotic big data generated in the real world is scientifically extracted and modeled from multiple dimensions such as association, time series, space, etc., and then forms a quantitative summary of the operation laws of the real world.
#Campus data
The park data includes the statistical caliber data of the park, the data collected by the park, and the commercial supporting data of the park.
Statistical caliber data of the parkIt mainly includes the overall operation and management data of the park and the production and operation statistics of each enterprise in the park, and through the statistics and analysis of the statistical data of the entire park, it has a guiding role in the policy planning of the park, the daily management of the park management committee and the operation and management of various internal enterprises.
The park collects dataThe collection of data in the park is to extract the basic data of the entire park, and through the summary and statistical analysis of the basic data, it will guide the management and operation of the park.
Commercial supporting data of the parkIncluding accurate investment promotion and other business service data, with the park as the service object, the park's core big database as the data support, combined with external data such as industry and commerce, taxation, justice, public opinion, energy and carbon emission data, the full enterprise information database can be retrieved, so as to provide data support services for the whole process of business operation and management such as investment promotion optimization, settlement management, operation supervision and risk early warning in the park.
#Enterprise data
Enterprise data includes listed financial report data, enterprise cloud data, and enterprise business data.
Listing financial report dataIncluding the business strategy, sales data, operating profit and first-chain data announced by listed companies, etc., by summarizing the operating data announced by listed companies and further analysis, it provides data services for enterprises and business operations in the park.
Enterprise cloud data and enterprise business dataThrough the collection, mining and analysis of the overall cloud data and industrial and commercial data of the settled enterprises, it has important guiding significance for the management, policy formulation, talent planning, and docking of upstream and downstream enterprises in the industrial chain within the park.
#Government data
Government affairs data includes public security data, financial management data, land and environmental protection data, energy consumption monitoring data, carbon emission monitoring data, hazardous chemicals supervision data, market supervision data, land and planning and construction, public service data and other related data.
#Other environmental data
Other data in the park includes energy data, carbon data, logistics data, financial data and other related third-party data, which are used to support the park and improve the operation management and service level.
In addition to the above data elements, the park can also combine its own actual situation to mine and utilize data elements in many aspects such as talent development, innovation ability, and international cooperation. By mining and analyzing these data, the park can achieve refined management, improve service levels, optimize the industrial structure, promote industrial development, and ultimately realize the sustainable development of the park. In this process, the value of data elements has been fully reflected, and it has also provided strong support for the development of the park. Only by constantly innovating and making full use of data elements can the park be invincible in the fierce competition and make greater contributions to the realization of China's economic development.
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