数库产业链图谱

产业链图谱数据精准定位中国超过5000万家上市及非上市企业的主营业务并形成海量上下游产业关系及产业链条之间的网络关系，构筑了完整的中国实体经济产业结构。该数据体系既可以作为产业上下游结构参考直接应用于产业及公司分析，亦可作为数据串联逻辑整合市场全量宏观、中观及微观数据，将市场全量数据基于产业逻辑重新编排组装，彻底解决数据孤岛问题并全面释放存量数据资产价值。该数据流目前已广泛应用于资产管理、券商研究分析、银行对公业务营销风控、政府产业规划及智慧招商引资等主流数字化决策场景，拥有大量金融、政府及企业头中部客户，同时对实体经济未来的全方位精准预测打造坚实基础。在上海数交所未来打破数据孤岛，实现从金融到实体产业的深度数据标准化治理及数据要素资产价值的全面释放层面亦有巨大应用潜力。

The industrial chain map data accurately locates the main businesses of over 50 million listed and unlisted enterprises in China, forms massive upstream and downstream industrial relations and network connections between industrial chains, and constructs a complete industrial structure of China's real economy. This data system can be directly applied to industrial and corporate analysis as a reference for upstream and downstream industrial structures. Additionally, it can serve as a data linking logic to integrate all macro, meso and micro market data, reorganize and assemble full-market data based on industrial logic, completely eliminate data silos, and fully unlock the value of stock data assets. Currently, this data resource has been widely deployed in mainstream digital decision-making scenarios such as asset management, securities research and analysis, bank corporate business marketing and risk control, government industrial planning and smart investment promotion. It boasts a large number of top and mid-tier clients from the financial, government and corporate sectors, and lays a solid foundation for all-round and accurate forecasting of the future real economy. Furthermore, it holds enormous application potential for the Shanghai Data Exchange's future initiatives to break data silos, achieve in-depth data standardization governance from the financial sector to the real economy, and fully unlock the value of data factor assets.

搜集汇总

背景与挑战

背景概述

该数据集精准定位中国5000多万家企业的产业链关系，构建了完整的产业结构图谱，广泛应用于金融分析、政府规划等领域，有效解决数据孤岛问题并释放数据资产价值。