Business environment analytics as a tool for strategic and operational management of enterprise development

Authors

  • Ivan Valeriiovych Zubar Candidate of Economic Sciences, Senior Lecturer, Department of Public Management and Administration, Vinnytsia Mykhailo Kotsiubynsky State Pedagogical University, Vinnytsia, Ukraine https://orcid.org/0000-0002-5112-421X
  • Maryna Oleksandrivna Nazarenko Candidate of Science in Public Administration, Associate Professor, Department of Public Administration and Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine https://orcid.org/0000-0003-2116-754X
  • Yuliia Ismailivna Namazova PhD in Public Management and Administration, Assistant, Department of Public Administration and Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine https://orcid.org/0000-0003-0466-6005
  • Andrii Petrovych Heletko Master Student, Educational Programme “Management and Entrepreneurship”, Vinnytsia Mykhailo Kotsiubynsky State Pedagogical University, Vinnytsia, Ukraine https://orcid.org/0009-0004-1153-8110

DOI:

https://doi.org/10.5281/zenodo.17715849

Keywords:

administrative management, operational management, business environment analytics, strategic analysis, digitalization, innovative development, clusterization

Abstract

Abstract: The purpose of the article is to substantiate the role of business environment analytics as a tool for enhancing the effectiveness of enterprise operational management and to determine its influence on strategic development under conditions of digitalization and increasing market turbulence. Particular attention is paid to identifying how systematic data collection and interpretation contribute to the optimization of operational processes, the reduction of uncertainty, and the formation of strategic decisions. The research methods include the analysis of modern theoretical approaches to business analytics, a comparative assessment of tools for evaluating external and internal environments, the generalization of empirical findings on enterprise innovative development, and system modelling of the impact of analytics on operational activities. Structural-logical, comparative, and systems approaches were applied to develop a coherent model of the relationship between operational decisions and strategic orientations. The results of the study demonstrate that a comprehensive understanding of the business environment enables enterprises to timely identify changes, forecast future trends, and make more informed managerial decisions. It is established that the combination of several types of analytics ensures a deeper understanding of the state of the operational system, allows detection of process dysfunctions, optimizes resource use, and supports the formation of adaptive strategies. The study proves that the use of modern methods for diagnosing the external environment creates prerequisites for the development of innovative models, including cluster and cooperative approaches. It is shown that the integration of digital monitoring systems and the strengthening of analytical competencies among personnel enhance operational resilience and the enterprise’s ability to respond effectively to risks. The conclusions confirm that business environment analytics should be viewed as a fundamental component of operational management that supports strategic planning and innovative development. The combination of analytical tools and digital technologies forms a new managerial approach oriented toward proactivity, adaptability, and enterprise resilience in a dynamic competitive environment. The practical value of the study lies in identifying directions for improving operational decisions and establishing a foundation for the long-term development of enterprises in the post-war period.

Published

2025-11-25

How to Cite

Zubar, I. V., Nazarenko, M. O., Namazova, Y. I., & Heletko, A. P. (2025). Business environment analytics as a tool for strategic and operational management of enterprise development. Current Issues of Economic Sciences, (17). https://doi.org/10.5281/zenodo.17715849