Optimization of management analytics of enterprises by integrating modern digital technologies

   Relevance. Increased competition in the conditions of the digital economy encourages enterprises to actively introduce the capabilities of modern information systems and technologies into management practice. To optimize management decision-making, they increasingly turn to digital twin tools, which allows managers to obtain more accurate insights into business processes, reducing risks. The relevance of introducing digital twins into the practice of economic activity of enterprises with the support of artificial intelligence is due to the high degree of efficiency and economic feasibility. Such modern digital technologies are considered one of the key tools of Digital Transformation 4.0 in the country's industry.

   The purpose is to study the possibility of transforming new-generation decision support systems by analyzing the practice of implementing digital twins with the integration of artificial intelligence tools to enhance the capabilities of digital models.

   Objectives. The main objective of the study is to analyze the practices of successful application of modern digital technologies and the integration of strategic digitalization initiatives with improved economic results, expressed in increased efficiency of operational processes and improved financial performance of the organization.

   Methodology. The general scientific approach, generalization, analysis and synthesis for an in-depth study of the research object were used as methods for achieving the goal of research activity.

   Results. For Russian companies, digital twins with the integration of artificial intelligence open up the possibility of reducing the impact of negative factors, filling the technological gap, and increasing competitiveness in the market.

   Conclusions. The implementation of modern digital technologies by enterprises with the support of artificial intelligence has proven its effectiveness and economic feasibility. Organizations that have integrated digital twins into their structure will have a competitive advantage in the accuracy of analytics and the speed of response to changes, which is especially important in the conditions of today's dynamic economy.

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