Core Insights - The National Data Bureau has released the fourth batch of 30 public data "running" demonstration scenarios, bringing the total to 100 scenarios published to date, aimed at maximizing the value of public data [1][2] Group 1: Public Data Development and Utilization - The public data "running" demonstration scenarios are a precursor to the market-oriented allocation of data elements, with significant progress reported in the first batch after a year of construction, showcasing social benefits and industrial driving effects [2] - The enthusiasm for application submissions is high, with the fourth batch of scenarios expanding into high-frequency public services, specialty industries, and grassroots governance, covering 35% of scenarios in western and northeastern regions [2][3] Group 2: Enhancements in Foreign Trade and Financial Services - The "Single Window" service has significantly improved the quality and efficiency of foreign trade and financial services, processing international settlements totaling $127.2 billion and financing credits of 148.8 billion RMB, benefiting 450,000 foreign trade enterprises [5][6] - Innovations include the establishment of big data models that integrate over 20 types of data, enabling rapid decision-making for financial institutions and providing online services to reduce the burden on enterprises [6] Group 3: Authorized Operations and Data Supply - Authorized operations have emerged as an innovative model for public data resource development, enhancing data supply and promoting market-oriented value realization [7][8] - The introduction of specialized entities for data processing has balanced data circulation and security, with over 3 trillion data entries in public data zones in Beijing, supporting various sectors [7][9] - The cultivation of data service enterprises is accelerating, with pilot units established in cities like Tianjin and mechanisms in place in Anhui to foster partnerships [8][9]

Core Viewpoint - The National Data Bureau has released the fourth batch of 30 public data "running" demonstration scenarios, bringing the total to 100, aimed at maximizing the value of public data through effective utilization and integration across various sectors [1][2]. Group 1: Progress and Impact of Public Data Scenarios - The first batch of public data demonstration scenarios has shown initial social and industrial benefits, creating a replicable and promotable construction model [2]. - The coverage of the fourth batch of scenarios has expanded, with 35% of them located in the western and northeastern regions, and they are increasingly focusing on high-frequency public services and grassroots governance [2]. - The "Single Window" service has processed international settlements totaling $127.2 billion and provided financing credits of 148.8 billion RMB, benefiting 450,000 foreign trade enterprises [4]. Group 2: Innovations and Operational Models - The "Single Window" has established a big data model integrating over 20 types of data, enhancing the efficiency of cross-border trade and financial services [5]. - The authorization operation model has emerged as a significant method for public data supply, stimulating both data provision and utilization [6]. - The introduction of specialized entities for data processing has balanced data circulation and security, with over 3 trillion data entries in Beijing's public data zones [7].

Core Insights - The National Data Bureau has released the fourth batch of 30 public data "running" demonstration scenarios, bringing the total to 100, aimed at maximizing the value of public data [2][3] Group 1: Public Data Utilization - The development and utilization of public data is a precursor to the market-oriented allocation reform of data elements, with significant progress in the construction of demonstration scenarios [3] - The first batch of public data scenarios has shown initial social benefits and industrial driving effects, creating replicable and promotable construction models [3] - The enthusiasm for application has surged, with the fourth batch of scenarios expanding into high-frequency public services, specialty industries, and grassroots governance [3][4] Group 2: Trade and Financial Services - The "Single Window" service has significantly improved the quality and efficiency of "foreign trade + finance" services, processing international settlements totaling $127.2 billion and financing credits of 148.8 billion RMB [5][6] - The customs authority has collaborated with 22 major financial institutions to innovate services that address the financing challenges faced by foreign trade enterprises, enhancing cross-border settlement efficiency [5][6] Group 3: Data Authorization and Market Supply - Authorized operation has emerged as an innovative model for public data resource development, enhancing the supply of data and balancing data circulation with security [7] - The establishment of specialized data service enterprises has accelerated, with regions like Tianjin and Anhui actively cultivating operational entities and partners [7] - Public data is increasingly driving the integration of various data applications, supporting industrial development and public governance [7]

Group 1 - The National Data Bureau has released a new batch of 30 public data "running" demonstration scenarios to promote the development and utilization of public data, covering areas such as second-hand car transactions, medical test result sharing, academic data services, and corn industry big data applications [1] - The initiative aims to enhance the construction and openness of application scenarios, transitioning from "point breakthroughs" to "blooming across the board," leveraging public data to drive data integration and maximize data value [1] - A total of 100 public data "running" demonstration scenarios have been published in four batches, with the first batch showing initial social benefits and industry driving effects, establishing a replicable and promotable construction model [1] Group 2 - In the field of public services, scenarios have been developed to support precise management of insurance, facilitate tourist entry without certificates, and provide employment services based on social security data [2] - The Customs General Administration is using cross-border trade data to help small and micro enterprises reduce financing costs, while logistics data sharing enhances multi-modal transport efficiency and lowers logistics costs [2] - The innovative model of authorized operation for public data development is stimulating supply and usage dynamics, promoting the marketization and valuation of data elements [2] Group 3 - Authorized operation has led to the emergence of data service enterprises, with Tianjin identifying 13 pilot units and Anhui establishing a mechanism that has connected over 70 partners [3] - Public data is driving various data integration efforts, providing strong support for industrial development and public governance, with Shandong creating over 150 authorized operation scenarios [3] - The National Data Bureau plans to continue promoting the implementation of authorized operation, ensuring that high-value data flows into the market while balancing the advantages of both public data openness and authorized operation [3]

Core Viewpoint - The National Data Bureau emphasizes that authorized operation is an innovative model for the development and utilization of public data, which enhances the market value of data elements and stimulates both supply and demand in the data market [1][2]. Group 1: Progress of Authorized Operation - Authorized operation has enriched the supply of data resources by introducing specialized forces for data processing and governance, balancing data circulation and security [1]. - Since the implementation of the "1+3" policy framework for public data, various regions and departments have actively explored and achieved positive results in authorized operation [1]. Group 2: Development of Data Service Enterprises - Authorized operation has accelerated the cultivation of data service enterprises, with Tianjin identifying 13 municipal pilot units and selecting 8 operational entities [2]. - In Anhui, a mechanism of "operating institution + partners" has been established, connecting over 70 partners and 67 third-party service institutions [2]. - Guizhou encourages diverse market participants, cultivating 96 enterprises in key areas such as health, finance, and tourism [2]. Group 3: Empowerment and Application of Data - Authorized operation has accelerated the release of data empowerment, supporting industrial development and public governance [2]. - Shandong has created over 150 authorized operation scenarios, with typical data products like "泉融通" and "政保通" widely applied in finance, healthcare, and public welfare [2]. - In Xinjiang, data resources related to agriculture and meteorology have led to the development of financial service scenarios, conducting 5,243 loan verifications and assisting financial institutions in issuing subsidized loans totaling 21.5 million yuan [2]. Group 4: Future Directions - The National Data Bureau acknowledges that authorized operation is still in its early stages and will continue to promote the implementation of relevant systems to supply more high-value data to the market [2]. - Both public data openness and authorized operation have their advantages and are suitable for different types of data and application scenarios, with the Bureau aiming to maximize the value of public data through a coordinated approach [2].

Core Insights - The "Qianrong e-loan" is an innovative online financing product launched by Jinan Industrial and Commercial Bank, aimed at enhancing the operation and promotion of the "Qianrongtong" platform, marking a significant step in transforming government data into financial production factors [1][3] Group 1: Innovation in Financing - The core highlight of "Qianrong e-loan" lies in its dual breakthroughs in credit and product models, utilizing multi-dimensional government data such as social security, medical insurance, and housing fund as primary credit references, thus broadening the credit assessment dimensions and enhancing precision [2] - The project has effectively addressed the financing difficulties faced by small and micro enterprises by integrating local characteristics with the bank's models, creating a comprehensive and controllable government scenario financing model [2] Group 2: Benefits to Small and Micro Enterprises - "Qianrong e-loan" serves 1.14 million small and micro enterprises in Jinan, allowing them to apply online and receive system approvals autonomously, thus alleviating the information asymmetry between banks and enterprises [3] - Since its launch, "Qianrong e-loan" has granted credit to 6,247 enterprises totaling 3.812 billion yuan, with 2,814 enterprises withdrawing 1.912 billion yuan, effectively channeling financial resources into the real economy [3] Group 3: Data Security and Compliance - Jinan Industrial and Commercial Bank has established a deep collaboration with the "Qianrongtong" platform to ensure data security, including signing agreements to clarify legal responsibilities and building dedicated business transmission lines [4] - Advanced technologies such as blockchain encryption, "trusted space," and "data sandbox" are employed to ensure the secure and compliant use of authorized data, while the product strictly adheres to legal and regulatory requirements [4] - The bank aims to further extend the existing model to agricultural industries and innovative enterprises, contributing to the digital transformation of inclusive finance [4]

Group 1 - Shandong Kelly Electric Co., Ltd. and Jinan Jiajin New Materials Co., Ltd. successfully secured loans through the "Quanyin E-loan" platform, addressing the financing challenges faced by small and micro enterprises in Jinan [1][2] - The "Quanyin E-loan" model utilizes government data to accurately assess credit limits for small businesses, providing instant online loans with a maximum limit of 3 million yuan, resulting in a total loan issuance of 1.796 billion yuan within a year and an average credit increase of 800,000 yuan per business [2][3] - The Jinan Financial Investment Holding Group's digital technology subsidiary has developed 363 data products to facilitate personalized data services for financial institutions, enhancing the efficiency of loan processes [3][4] Group 2 - Jinan has established a unified data standard and integrated data resources from 77 departments, resulting in over 472 billion data entries to support data sharing applications across various government units [4][5] - The city has implemented a legislative framework to promote the authorized operation of public data, leading to the development of 290 public data products and over 800 transaction orders [4][5] - Jinan's data security measures include the use of blockchain technology and privacy computing to ensure safe data circulation while maintaining compliance, allowing businesses to authorize banks to access necessary information for loans [5]

Core Viewpoint - Jinan is leveraging data resources to address the financing challenges faced by small and micro enterprises, facilitating easier access to credit and promoting new industries and business models through data-driven solutions [2][3][7]. Group 1: Financing Solutions for Small Enterprises - Shandong Kelly Electric Co., a small tech enterprise, successfully secured a loan of 2.79 million yuan through the "泉融E贷" platform, highlighting the effectiveness of data-driven financing solutions [2]. - The "泉融E贷" program has disbursed a total of 1.796 billion yuan in loans, with an average credit increase of 800,000 yuan per enterprise, and has reported zero bad debts since its launch [3]. - The program utilizes a comprehensive data platform, "泉融通," which integrates various public data sources to assess creditworthiness, allowing banks to make informed lending decisions [3][4]. Group 2: Data Integration and Application - Jinan has established a unified data standard and integrated over 20,081 data resources from 77 departments, facilitating data sharing and application across various sectors [5]. - The city has developed 290 public data products and completed over 800 transactions, delivering more than 12 million data entries to support various applications [5]. - The "泉城链" platform has been created to ensure secure and authorized access to sensitive data, allowing businesses to share necessary information with banks for loan applications [6]. Group 3: Technological Innovations and Security - Jinan's data management incorporates advanced technologies such as blockchain and privacy computing to ensure data security and compliance, allowing for safe data circulation [6]. - The city has implemented a "data insurance box" feature through the "爱山东" app, enabling businesses to authorize banks to access relevant data securely [6]. Group 4: Economic Impact and Future Prospects - The initiatives in Jinan are aimed at releasing data dividends to foster new industries, business models, and a digital economy, positioning the city as a leader in data-driven economic transformation [7].

Core Insights - The "泉融e贷" project won first place in the financial services track of the 2025 "Data Element X" Shandong division finals, showcasing Jinan Industrial Bank's leading capabilities in data-driven inclusive finance [1][2] - The project addresses the financing difficulties faced by small and micro enterprises by integrating various government data sources to create a new credit assessment model [1] - The use of advanced technologies such as big data and cloud computing has enabled precise pre-approval for 1.14 million market entities in Jinan, significantly improving financing accessibility [1] Group 1 - The "泉融e贷" project achieved a score of 89.2, outperforming 30 competing financial institutions [1] - The project leverages Jinan's comprehensive financing service platform "泉融通" to overcome traditional credit assessment challenges [1] - The innovative practices of the project provide a replicable model for financial services aimed at small and micro enterprises, aligning with the core goal of the "Data Element X" competition [1] Group 2 - The project combines regional data model advantages with standardized risk control models from the parent bank, laying a solid foundation for future applications [2] - Future expansions of the credit assessment model will target key sectors such as agriculture and technology innovation, exploring deeper integration of data elements with the real economy [2] - The award signifies a significant step for Jinan Industrial Bank in applying data elements and innovating inclusive finance, offering valuable insights for financial technology development at both provincial and national levels [2]

Core Insights - The article discusses the significant impact of digitalization and data as a production factor in various sectors, highlighting the emergence of data as a crucial asset in economic development, particularly in Shandong Province [1][2] - It emphasizes the challenges faced in the implementation of data asset accounting, including insufficient infrastructure, lack of active participation from private enterprises, and the need for a robust data market [3][4] Group 1: Data Asset Accounting - By 2024, data is expected to be recognized as a key asset, with 92 listed companies and 228 non-listed companies in China reporting data asset accounting [1] - Shandong Province has seen state-owned enterprises leading the way in data asset accounting, with the Shandong High-Speed Group reporting a data asset value of 3.51 million yuan and an assessed value exceeding 72 million yuan [2][3] - The reluctance of private enterprises to engage in data asset accounting is attributed to high costs, low returns, and operational complexities [2][3] Group 2: Challenges in Data Market Development - The article identifies several challenges, including a lack of active participation from enterprises, an immature data market, and insufficient infrastructure for data operations [3][4] - Shandong has established regional data trading institutions, but its trading volume of 220 million yuan is significantly lower than that of leading cities like Shenzhen and Shanghai [5][6] - The absence of a provincial-level public data operation platform hinders the development of a robust data market ecosystem in Shandong [6][7] Group 3: Data Security and Trust - Concerns regarding data security and the establishment of a trusted data space are highlighted as critical issues for the industry [7][8] - The need for a trusted data space is emphasized to ensure data can be shared and utilized securely, with various types of trusted spaces being proposed [8][9] Group 4: Revenue Distribution and Coordination - The article discusses the importance of coordinating interests across departments and levels for effective data utilization and revenue distribution [10][11] - A proposed revenue-sharing model in Qingdao suggests that 50% of the revenue generated from public data operations would be reinvested into supporting data resource management [10][11]