Abstract

AbstractThis work examines the evolution of business and economic structures under the influence of digitalization, updating the introduction of digital technologies in business and economic structures and assessing the current level of automation of enterprise processes, as well as identifying key opportunities for digitalization and digitization for enterprises. The use of quantitative dependence of indicators to accelerate the development of business and economic structures in the context of global transformation is proposed. For many companies, this is a revolutionary opportunity. With this in mind, innovative enterprise development strategies must take into account the requirements of digitalization, which involves the use of integrated mobile applications, social networks, analytics, and cloud technologies. It is necessary to improve and modernize the traditional system of management of business and economic structures and best of all, to replace it with an integrated cloud platform, which will create a digital infrastructure of the enterprise. It is also worth mentioning the long-term strategy, which must be carefully thought out and adapted to the evolutionary and technological realities of today. It is necessary to make innovation as a key strategy in the management of business and economic structures. The methods of using the relationship of statistical indices to analyze the impact of staffing factors and their average productivity on net income from sales in the forecast period are considered. Substantiation on the basis of the index method of forecasts (plans, tasks, or standards) of macro-and microeconomic phenomena and processes in the preparation of management decisions allows to improve the level of use of available statistical information. It should also be noted that the stated methodological provisions of the index analysis of the dynamics of net income from sales can be used at the regional level to assess changes in the volume of gross regional product or products sold in various economic activities.KeywordsData analyticsDigitalizationDigital technologiesStatistical indexesNet incomeLabor productivityStaff

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