Managerial decision-macing in the context of digital transformation

Abstract

In many organizations, managerial decisions are based on fragmented and unsystematic information and limited analytical capabilities of managers This reduces the soundness of decisions, increases the likelihood of errors, and complicates the achievement of strategic goals, especially in an unstable external environment. Digital transformation, in turn, leads to rapid growth in the volume and variety of data from internal and external sources, opening up opportunities for evidence-based decision-making, forecasting, and scenario modeling. At the same time, it complicates the collection, processing, and interpretation of data. Information overload, the lack of unified data standards, and insufficient digital competencies among managers can negate the advantages of digitalization and create additional barriers. Under such conditions, there is a growing need for a systemic approach to the application of digital technologies in managerial decision-making processes, which involves the integration of analytical platforms, automated systems, and intelligent data analysis tools into a single managerial space. The aim of this article is to analyze the specifics of managerial decision-making in the process of digital transformation and to clarify the importance of modern digital technologies for improving the effectiveness of managerial activities. To achieve this aim, the article analyzes the essence and content of the managerial decision-making process; characterizes the impact of digital transformation on managerial processes; identifies the main digital tools and technologies used in managerial decision-making; and summarizes the advantages and risks of using digital solutions in the management system. Particular emphasis is placed on identifying key areas for improving the managerial decision-making process in the context of digitalization, which involves the integration of modern digital technologies into management activities, the use of analytical platforms and decision support systems, and the introduction of intelligent data analysis and predictive analytics tools. The need to develop the digital competencies of management staff, unify data processing standards, automate information flows, and ensure a unified information space to improve the soundness, efficiency, and strategic focus of managerial decisions is identified.