Digital transformation of enterprise management systems based on big data analytics

Authors

  • Serhii Lopatka Doctor of Economic Sciences, Associate Professor, Professor of the Department of Enterprise Economics and Information Technologies, Lviv University of Business and Law https://orcid.org/0009-0008-7941-368X
  • Oksana Lopatka Candidate of Economic Sciences, Associate Professor of the Department of Enterprise Economics and Information Technologies, Lviv University of Business and Law https://orcid.org/0009-0006-7501-5022

DOI:

https://doi.org/10.5281/zenodo.19075524

Keywords:

digital transformation, enterprise management systems, Big Data Analytics, ERP systems, cloud platforms, prescriptive analytics, data governance, European integration, digital maturity

Abstract

Abstract. The article examines theoretical and methodological foundations of digital transformation of enterprise management systems based on Big Data Analytics. It distinguishes between digitization, digitalization, and digital transformation in the context of enterprise management systems; defines the categorical framework of big data and their analytics, including the typology of descriptive, diagnostic, predictive, and prescriptive analytics, and draws a distinction between Big Data Analytics and Business Intelligence. It is substantiated that Big Data Analytics becomes the core of a new type of managerial rationality, enabling the transition from reactive to proactive and prescriptive management, where the system goes beyond recording facts and generates recommendations with consequence assessment. The architectural evolution of corporate systems (ERP/CRM/SCM) from monolithic transactional solutions to cloud-based modular platforms integrated with analytical and data science components is analyzed, along with the role of digital maturity and readiness models in assessing transformation progress. The economic and organizational effects of integrating Big Data Analytics into management systems are studied, including changes in managerial roles, formation of data-driven culture, institutional barriers to implementation, and the problem of high failure rates in digital transformations. Special attention is paid to the Ukrainian context: digital maturity of enterprises under wartime conditions, regulatory framework for cloud services, and European integration requirements in data management (Data Act, Data Governance Act, Digital Europe Programme). It is argued that the optimal model for Ukrainian enterprises is platformization of management based on cloud and modular systems, provided that data governance practices and interoperability are institutionally strengthened. Prospects for further research are identified, related to empirical verification of the relationship between the level of digital maturity and performance of Ukrainian enterprises under wartime risks.

Published

2025-11-30

How to Cite

Lopatka, S., & Lopatka, O. (2025). Digital transformation of enterprise management systems based on big data analytics. Current Issues of Economic Sciences, (17). https://doi.org/10.5281/zenodo.19075524