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The paper describes the tasks of financial sector companies, solved using the technology of processing Big Data. The possibilities of using Big Data for solving the problems considered are analyzed. A comparative analysis of the methods for processing Big Data has been carried out, a correspondence has been established between the methods considered and the tasks being solved by the companies of the financial sector. Criteria for choosing methods for processing Big Data are developed depending on the type of tasks, instrumental support of the proposed approach has been performed.

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The state is an active participant and an important stakeholder in the digital economy development program. The expected formation of the ecosystem of the digital economy will increase the efficiency of state functions performance, increase the degree of citizens’ involvement in the life of society, and increase the competitiveness of the whole state. The effective implementation of government functions requires the fulfillment of the basic requirements for digital technologies in terms of the most effective implementation of the tasks. Based on these requirements, it is possible to identify the corresponding key end-to-end digital technologies, the inclusion of which in business processes will give maximum development.