Azizov Abbos Obidovich,

 AKFA University,

ESL Professor, Department “School of Education”

E-mail: a.azizov@akfauniversity.org


Abstract. In world practice, it is important to develop targeted strategies aimed at further improving the business environment, implementing active business projects to ensure sustainable economic development, pursuing economic policies that have a positive effect on business development, conducting research aimed at using block chain technology as well as ensuring interest in business development by state and society. The issues of doing business after the global crisis caused by the pandemic, statistical observation and forecasting issues, statistical assessment of the impact of the pandemic on business entities, and improving methods of statistical analysis of business development processes during and after the pandemic became important as never before. As a result of the conducted research, the authors have reached assessing quantitative and qualitative indicators of factors affecting business development processes has been developed, and a software has been created that makes the accurate analyzes on the basis of block chain of the data, a comprehensive analytical approach was developed based on statistical indicators characterizing business development trends in the country, in the SNA sectors, in the context of key industries and regions, multifactor empirical models were developed and forecast options for 2021-2026 were proposed using the scenario method. The theoretical approaches and the initial data used are taken from official sources, based on the

data of business entities operating in Uzbekistan, proposals and recommendations implemented in practice, statistical data of the State Committee on Statistics of the Republic of Uzbekistan, as well as primary data obtained during the study. The proposed block chain stages in business process accurately evaluate the results that meet the requirements of the digital economy.           Keywords. business process, block chain, digital economy, empirical model, statistical data, growing economics, e-government, e-business, e-commerce.

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