Making decisions on the basis of data science in managing social and economic systems

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Aim. To identify the prospects and possible areas of data science use in the decision-making process in the management of social and economic systems.Objectives. To analyze existing approaches and promising directions of data science use; to analyze methods that allow to obtain real-time data for decision-making, to identify gaps and shortcomings; to briefly formulate conclusions relevant for practitioners and policy makers in the process of decision-making based on data science.Methodology. The authors analyzed the scientific literature, applied methods of logical analysis and interpretation of data.Results. In the course of the research, it was found that data science makes a significant contribution to the global transformation of society, allowing solving urgent problems of socioeconomic development. Methods that facilitate the acquisition of real-time data increase the effectiveness of decisions in the management of social and economic systems. These methods were analyzed, their advantages and disadvantages were identified, and examples of their use were presented. The key data requirements were defined: confidentiality, ethics, and security. A range of new questions for future research in the context of the topic under consideration was proposed.Conclusions. The results obtained contribute to the theoretical development of new approaches to the application of data science, as well as the practical use of best practices in cases of decision-making in the management of social and economic systems. These results can form the basis for the design and implementation of solutions by policy makers and practitioners.