This paper takes the data-driven innovation point system for technology-based enterprises as the research object, and conducts a comprehensive analysis and evaluation of it from a theoretical perspective. The system is a new type of policy tool, which aims to provide credit support and resource allocation for technology-based enterprises by quantitatively evaluating their innovation capabilities and growth potential, promote the aggregation and synergy of innovation elements, and help technology-based enterprises grow rapidly. This paper adopts the research methods of literature review and case analysis, and systematically sorts out and deeply discusses the theoretical basis, policy background, implementation situation, impact effect, etc. of the system from different angles and levels. The paper draws the following main conclusions: (1) The system is a policy measure conducive to promoting scientific and technological innovation and entrepreneurship development. It can motivate technology-based enterprises to participate in innovation activities, improve their innovation capabilities and results transformation rate, increase their innovation benefits and competitive advantages, and thus promote the development and prosperity of the entrepreneurship ecosystem. (2) The system has a significant positive impact on the financing scale, technological innovation capability, market expansion capability, etc. of technology-based enterprises. It can help technology-based enterprises solve problems such as capital shortage, technological backwardness, market difficulty, etc., and enhance their survival and development capabilities. (3) The system has policy innovation significance and practical value. It provides reference and inspiration for deepening policy tool innovation, optimizing entrepreneurship environment, and cultivating more excellent technology-based enterprises
