Використання Аналітики Даних У Системі Прийняття Управлінських Рішень Підприємства

In the context of the digitalization of the economy, enterprises operate under growing information flows and increasing demands for timely and well-grounded managerial decision-making. Under these conditions, data analytics is becoming an important instrument of information support for management processes. The purpose of the article is to investigate the features of data analytics usage in the system of managerial decision-making at the enterprise level and to identify the main directions of its application for improving management efficiency. The study is based on general scientific methods, including analysis, synthesis, systematization, and comparison. These methods made it possible to clarify the essence of data analytics, define its role in the contemporary enterprise management system, and generalize the main approaches to its practical use. The article identifies the main types of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, and explains their role in supporting managerial decision-making. The main areas of application are systematized, including marketing, financial management, human resource management, logistics, and strategic planning. The generalized findings indicate that the use of analytical tools is associated with higher decision quality, better risk assessment, more efficient resource allocation, and greater enterprise adaptability to changes in the external environment. The scientific novelty lies in the systematization of data analytics types and in the integrated characterization of its application areas in the enterprise decision-making system under conditions of economic digitalization. The results can be used by enterprises to improve information and analytical support for management, strengthen the validity of managerial decisions, and develop more adaptive approaches to decision-making in a dynamic business environment.