Modernization of the architecture of the digital platform for evaluating the effectiveness of executive authorities and senior officials of the constituent entities of the Russian Federation

Background. Modern government agencies operate in an environment of continuously growing volumes of generated information – from classic statistical reporting to digital behavioral traces arising from citizen interactions in the digital environment. However, prevailing methodological approaches to performance assessment still rely primarily on retrospective analysis and averaged performance indicators, which reduces the flexibility of the public administration system and hinders the development of predictive and analytical models for decision support. Despite the widespread adoption of digital technologies throughout the country, a key element of the management cycle – the performance assessment system – largely retains characteristics of the industrial management model, where assessment is essentially limited to recording achieved indicator values. This prevents the adequate identification of hidden relationships, predictive factors, and potential risks in the dynamics of the management system. As a result, a gap arises between the technological potential of modern analytical platforms and the existing methodological framework for performance-based management. Purpose. Research and improvement of the architecture of the system for assessing the performance of executive authorities and senior officials of the constituent entities of the Russian Federation. Materials and methods. The article is based on a set of sources presented by regulatory legal acts, statistical and reference materials. Results. It was revealed that there are shortcomings in the current architecture of the performance evaluation system for executive bodies and senior officials in the constituent entities of the Russian Federation. A modernization option is proposed that offers several advantages enabling a transition to proactive management and more effective performance, seamlessly integrating with the current architecture.