公共数据“跑起来” 为千行百业添动能

Core Insights - The "Single Window + Foreign Trade Finance" service significantly enhances business efficiency and reduces financing costs for small and micro enterprises, with reported efficiency improvements of 50% and cost reductions of 15% [1][3] - The initiative aims to leverage public data to address financing challenges faced by small and micro enterprises, with the National Data Bureau actively promoting the development and utilization of public data [1][2] Group 1: Public Data Utilization - The National Data Bureau has launched a series of demonstration scenarios to promote the effective use of public data, with 70 scenarios released in three batches and an additional 30 in the fourth batch [1][2] - The "Single Window" service has facilitated international settlements amounting to $127.2 billion and provided financing credit of 148.8 billion RMB, benefiting 450,000 foreign trade enterprises [3] Group 2: Impact on Various Sectors - In the social service sector, applications such as "one person, one profile" for medical insurance and convenient entry for tourists at scenic spots have been developed, enhancing service efficiency [2] - The logistics sector has seen improved efficiency and reduced costs through the open interconnection of logistics data, while the "Tian Map" application by the Ministry of Natural Resources has become a key platform for providing geographic information services [2] Group 3: Innovations in Data Management - The National Data Bureau is exploring innovative practices in public data authorization and operation, including establishing revenue-sharing mechanisms and enhancing data security through new technologies [5][6] - The shift from a "sharing-focused" approach to a collaborative model of "sharing, opening, and authorized operation" is being emphasized, with authorized operation becoming a significant method of data supply [5][6] Group 4: Future Directions - The National Data Bureau plans to continue promoting the implementation of public data policies and enhance the market supply of high-value data, aiming to maximize the value of public data [6]