Mechanism for transforming data into managerial decisions in data-driven state regulation of economic digitalization

Abstract

The purpose of the article is to substantiate the mechanism of transforming data into managerial decisions within the system of data-driven state regulation of economic digitalization, with a focus on overcoming the gap between analytical results and public policy decision-making processes.

The study employs a systemic and logical-structural approach, methods of theoretical generalization and comparative analysis, as well as elements of process modeling to formalize the sequence of managerial decision-making. The methodological basis is grounded in the integration of data-driven governance, evidence-based policymaking, and analytical support of public administration.

The research demonstrates that contemporary approaches to data-driven state regulation are characterized by a high level of development of information and analytical components, while lacking sufficient integration with managerial processes. A functional gap between the stages “data – indicators – analytical interpretation” and “decisions – regulatory impact” is identified. The mechanism of transforming data into managerial decisions is substantiated as an integrated system ensuring a consistent transition from data formation to the implementation of regulatory actions. The study defines the logic of integrating analytical results into decision-making through the generation of alternatives, their evaluation, and the selection of optimal solutions. An algorithm for public decision-making is proposed, encompassing data collection and integration, indicator formation, analytical processing, identification of deviations, generation and evaluation of alternatives, decision-making, implementation of regulatory impact, and assessment of outcomes with feedback.

It is proven that the effectiveness of data-driven state regulation depends not only on the availability of data and analytical tools, but primarily on the level of integration of analytical processes into managerial decision-making. The proposed mechanism ensures the formation of a closed-loop governance system and creates conditions for enhancing the validity, adaptability, and effectiveness of public policy in the context of economic digitalization.