CONVERGENCE OF DIGITALIZATION AND DATA ANALYTICS AS A FACTOR OF MANAGEMENT PARADIGM TRANSFORMATION IN THE MODERN DIGITAL ECONOMY
Abstract
The article explores the convergence of digitalization and data analytics, which determines the formation of a new management paradigm within the digital economy. The study examines the evolution from linear functional interconnections to the creation of closed-loop intelligent management circuits. The authors analyze the technological and institutional drivers of this transformation: embedded analytics, platform ecosystems, machine learning methodologies, and the digital twin concept. It is demonstrated that the result of this process is the emergence of a fundamentally new type of organization – data-driven enterprises, where digital assets and analytical models form a unified self-regulating system. The paper proposes a multi-level convergence model and articulates emerging challenges in strategic management, ethics, and cybersecurity.
Fields of Study & Subjects
Digital Economy and Transformation
Economic and Technological Systems Analysis
Digital Innovation in Industries
Publication details
- Journal / source
- EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
- Volume
- 3/1
- Issue
- 168
- Pages
- 204–209
- Publication date
- 1 January 2026
- Language
- EN