This article explores the role of Data Science and Big Data technology in the modern digital economy. The author states that large and medium companies from retail trade and service sector show increased interest in using them. These technologies are actively used by banks, mobile operators and large manufacturing companies to analyze data on equipment failures and to reduce downtime, which allows reducing costs. The role of Big Data technology is to be a liquid product and a necessary condition to increase the profitability of enterprises through personalized customer service and predictive analytics. For today's Russian digital economy, it is very important to legalize a single definition of Big Data and to achieve the emergence of special data exchanges.
A new coronavirus infection (CVI) is a challenge to the medical system of the Russian Federation and requires precise flow forecasting to take the necessary measures on time. The article provides an overview of modern mathematical tools for predicting the course of CVI in the world. The created CVI forecasting project office allowed to determine the most effective analysis tools in the Russian Federation — the ARIMA, SIRD and Holt–Winters exponential smoothing models. Implementation of these models allows for prediction of short-term morbidity, mortality and survival of patients with an accuracy of 99 % both in the Russian Federation in general and in the regions. In addition, the distribution of CVI was characterized. Particularly, Moscow and Moscow region have the maximum spread of infection, and other regions are lagging behind in the dynamics of the incidence by 1–3 weeks. The obtained models allow us to predict the course of the disease in the regions successfully and take the necessary measures in a timely manner.
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