ANALYSIS OF MODERN APPROACHES TO COMPUTER COMPETITIVE INTELLIGENCE USING OPEN SOURCE TECHNOLOGIES

DOI: 10.31673/2786-8362.2025.028204

Abstract

The article analyzes
modern approaches to conducting computer-based competitive intelligence using OSINT (Open Source
Intelligence) technologies. The relevance of this topic is determined by the rapid growth of the volume of
open data on the Internet and the need for its effective use to enhance the competitiveness of organizations.
The purpose of the study is to generalize the methods and tools of computer competitive intelligence based
on OSINT technologies, and to determine their capabilities and limitations. Within the study, various
approaches and tools used for the collection and analysis of information about the competitive environment
from open sources are examined. In particular, methods for monitoring web resources, social networks,
blogs, online forums, and open databases are analyzed, which allow the automated search for relevant data
on competitors’ activities. Special attention is paid to the use of modern software and online services for
OSINT, as well as the potential of machine learning technologies and big data processing to increase the
efficiency of competitive intelligence. It was found that the use of OSINT ensures broad coverage of
information sources and timely acquisition of relevant data. At the same time, effective use of OSINT
requires a structured approach to filtering results and verifying the reliability of collected information. The
results of the research enable the identification of the advantages and disadvantages of each of the current
OSINT-based approaches and tools for competitive intelligence. The practical significance of the obtained
results lies in the possibility of using the formulated recommendations to improve competitive intelligence
processes and information-analytical activities. The application of modern OSINT approaches will
contribute to more informed managerial decision-making and strengthen the competitive positions of
organizations in the market.
Keywords: open information sources; web monitoring; social media analytics; data collection tools;
machine learning; big data; competitive advantage; decision support

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