Rosstat Digital Analytical Platformas a tool for the transformation of government statistics

M. V. Borovitskaya (), V. V. Shneider (), O. V. Likhtarova () and O. M. Sergeeva ()

Russian Journal of Industrial Economics, 2026, vol. 19, issue 2

Abstract: The article deals with the creation and implementation of the Digital Analytical Platform of the Federal State Statistics Service (Rosstat DAP) as the core of the National Data Management System in the context of the digitalization of the economics. The authors have revealed and systematized the problems of the national statistics: fragmented data, high bur den on small and medium-sized businesses, lack of efficiency and evidence of information. The analysis of the normative evolution is used to formulate priorities of the development of statistics up to 2023: the transition to predictive analytics, ensuring trust in data, integration of sources based on the “one-stop shop†principle, personalization of services, staff development, international harmonization, transparency. The authors have described functional components of DAP: sample constructor, interactive visualization, statistical and network analysis, machine learning-based forecasting, application programming interface. It has been shown that the platform ensures the interaction of the state, business, science and society in a single digital environment on the principles of interdepartmental automation using the System of Inter departmental Electronic Interaction (SIEI), Unifi ed Identification and Authentication System (ESIA) and the Gostech platform. The results will be useful for the government authorities, large business and small and medium-sized enterprises, researchers and teachers.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:ach:journl:y:2026:id:1625

DOI: 10.17073/2072-1633-2026-2-1625

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