科技企业科技属性动态评价常受单一数据制约，面临评估维度狭窄、反馈滞后等状况。本文聚焦多源异构数据融合在科技金融领域的应用展开研究，深入阐释其起源与内涵，剖析融合应用的重要意义，探讨实施过程中的关键问题，详细阐述具体实现方法，并展示其在技术创新、成长经营、区域适配评价等方面的实际运用。

The dynamic evaluation of technological attributes of technology companies is often constrained by single-source data, facing issues such as narrow assessment dimensions and delayed feedback. This paper focuses on the application of multi-source heterogeneous data integration in the field of technology finance. It elaborates on its origin and connotation, analyzes the significance of its integration and application, discusses key issues in the implementation process, details specific implementation methods, and demonstrates its practical application in aspects such as technological innovation, growth and operation, and regional adaptation evaluation.