Alekseev Denis B.

The digital transformation of public authorities and commercial organizations has led to a shift towards data-driven governance. The quality of decision-making is contingent upon the availability of data, analysis, and the swiftness of response to alterations. The primary challenge to the successful implementation of large-scale data processing and analysis systems is to guarantee their adequate scale and precision. Data-based and evidence-based management are explored as dialectically interrelated concepts with significant potential for synergy. The article explores the issue of data maturity and its influence on the effectiveness of managerial decisions. The methodological basis of the research was based on certain provisions of organizational theory. Quantitative and qualitative analysis, case studies, and synthesis were used as research methods to support the findings. The hypotheses of the research state that there is a methodological relationship between data-based and evidence-based management, as well as the potential for convergence between these approaches. In order to validate the proposed hypotheses, the authors utilize a dataset provided by the Federal State Statistics Service, encompassing information on the number of researchers in various scientific fields, age groups, academic qualifications, and regions of the Russian Federation from 2010 to 2023. The research revealed the order in which data-based and evidence-based management should be applied depending on the managerial context as methodologically interconnected concepts. The suggested approach is aimed at guaranteeing the quality and efficiency of managerial decisions in a high-tech management framework and in a dynamic external context.