The analysis shows data integration improves efficiency in tax administration, highlighting key factors affecting revenue prediction.
This scientific article is devoted to the study of the digital transformation of tax administration, taking into account the critical role of data integration as a key factor in increasing its efficiency, as the ability of tax authorities to effectively collect, process, and analyze data is becoming crucial for the successful implementation of their functions in the context of increasing volumes of information and complex economic relations. The article examines a set of factors that necessitate the integration of tax administration data. It presents key areas for integrating data from various sources (Federal Tax Service, Unified State Register of Alcohol and Other Alcoholic Beverages, banking transactions, and customs declarations). Modern tools for predicting tax revenue have been studied, which allow for more accurate analysis of data and prediction of changes in revenue at various levels of centralized finance management.
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Vladimira L. Shangareeva (2025) studied this question.
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