Статья

SAP Analytics Cloud: intellectual analysis of small and medium-sized business activities in Russia in the context of COVID-19

D. Nazarov, D. Kovtun, T. Reichert,
2020

The global trend of transition to a digital economy is pushing the scientific community to thoroughly research intellectual analytics models since the quality of models directly affects the choice of an effective decision-making strategy. The article discusses the possibilities and technologies for constructing data mining models in the digital service SAP Analytics Cloud, based on open data on the registration of legal entities and individual entrepreneurs in the Russian Federation. The impact of government support measures on the business activity of small and medium-sized businesses in the context of the spread of COVID-19 is assessed. Predictive analytics models are being implemented in the SAP Analytics Cloud, which allows us to assess the future development trends of small and medium-sized businesses in Russia.

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Источник

Версии

  • 1. Version of Record от 2020-10-07

Метаданные

Об авторах
  • D. Nazarov
    Ural State University of Economics
  • D. Kovtun
    Ural State University of Economics
  • T. Reichert
    Ural State University of Economics
Название журнала
  • 14th IEEE International Conference on Application of Information and Communication Technologies, AICT 2020 - Proceedings
Номер гранта
  • undefined
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus