The aim of this study is to determine the prerogatives of digital modernization of the public administration system based on the assessment of the development of digital government and the identification of major barriers. That involves both organizational and procedural changes and cultural changes in public authorities, personnel and qualification structures, interaction with citizens, and the effectiveness of public services. In the course of the study, statistical methods were used (qualitative and quantitative analysis), and empirical methods. Despite the automation of public authorities in recent years, the results of the transfer of public services to electronic format remain unsatisfactory. Digital modernization of the public administration system involves expanding methods for analyzing and evaluating the implementation of state programs, including auditing the effectiveness of their implementation. Currently, the assessment involves calculating the degree of achievement of the target values of performance indicators of projects, and monitoring is the assessment of the share of key events (activities) that occurred on time. The use of technologies of predictive analytics, and artificial intelligence has significantly changed the quality of information and analytical support of decisions. "Big data" processing technologies contribute to the adaptation of public policy measures to the needs and characteristics of the recipients of regulation.