Abstract：

The deep integration of big data technology has brought important opportunities in two areas: technical support and governance model transformation, for the modernisation of government governance capabilities. This study uses theoretical frameworks and practical analysis to comprehensively explore the different dimensions of value, actual application situations, and optimisation and improvement paths of big data in the field of government governance. The relevant research results show that big data has reshaped the value system of government governance by restructuring decision-making methods, promoting collaborative governance, innovating public service models, and strengthening risk prevention and control. In practical terms, big data has been widely applied in areas such as the optimisation and upgrading of government services, interdepartmental collaboration, industrial development support, and grassroots governance innovation. However, there are also challenges such as data-related obstacles, insufficient technical compatibility, and relatively lagging institutional safeguards. In response to these issues, the study proposes a series of optimisation strategies, including the construction of a data governance system, improving technical support mechanisms, advancing institutional innovation measures, and cultivating a digital governance culture. The aim is to drive a comprehensive and systematic upgrade of government governance models from experience-driven to data-driven, and from traditional hierarchical management to intelligent collaborative management, through the joint evolution of technology, institutions, and culture. This provides valuable theoretical foundations and practical pathways for achieving modernisation of the national governance system and governance capabilities.

Key Words：

big data; government governance; modernisation; digital governance; governance effectiveness