泉融通
Search documents
济南释放数据红利,催生新产业、新业态、新模式
Feng Huang Wang Cai Jing· 2025-11-20 05:32
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]
济南|济南数据红利催生新产业、新业态、新模式
Da Zhong Ri Bao· 2025-11-20 01:24
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].
深耕数据要素应用 济南工行“泉融e贷”创新实践斩获省赛桂冠
Qi Lu Wan Bao· 2025-09-24 04:53
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]
山东数据市场发展观察:国企先行探路,生态构建待深化
Zhong Guo Jing Ying Bao· 2025-06-29 08:48
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]
去年济南大数据与新一代信息技术产业规模居四大主导支柱产业首位
Qi Lu Wan Bao Wang· 2025-04-23 08:30
数据开放方面,济南市已向社会开放数据目录3545个,累计开放企业、人口等公共数据24.7亿条,有效赋能经济社会发展。例如,济南 市大数据局在济南公共数据开放网开发了一款"泉城商业选址"应用,创业者可以用于判断开店位置的人口分布和同行业分布情况,便于 选址。 公共数据授权运营方面,公开遴选第一批36家公共数据授权运营机构,梳理编制174项授权运营公共数据资源清单,开发了270余款数据 产品。例如,依托"泉融通"平台推进公共数据在金融领域应用,已服务113家金融机构,实现授信800亿元。 数字政府方面,通过数据有效支撑,济南市民生数字化应用更加普及,数字化治理服务水平大幅提升。例如,基于医保大数据开展标签 画像,精准实现退休医保待遇享受、生育津贴发放等医保服务"政策找人""免申即享";通过数据共享,建设新一代智慧公积金系统,实 现个人公积金贷款全程网办、秒批秒办。再如,搭建基层数据管理系统,构建"基层数据一张表",有效减轻基层数据填报负担,以历下 区老年人相关信息填报为例,原来基层需维护相关报表30余个,通过系统报表只需维护1个信息台账即可。再如,依托"交通大脑"调控优 化智能信号灯,核心片区路段日均减少红灯等待 ...