Accommodation of Big Data technology in business integration processes

Relevance. One of the preventive measures to improve the efficiency of any enterprise is the integration of various business components. At the same time, the development of cross-cutting technologies contributes to the gradual involvement of different business sectors in the digital space. The implementation of such technologies within companies necessitates the reorganization of business processes. The key issue is the exploration of the littlestudied process of consolidating Big Data technology as the foundation for integrating business components. The purpose of the study is to determine the adaptive properties of Big Data technology in the context of business process integration. Objectives. The research objectives involve studying the specifics of the business integration process; investigating the principle of big data functioning in the context of processing continuously growing information flows; identifying the main tools for integrating business processes associated with Big Data technologies; determining a comprehensive assessment of the effectiveness of business process integration in production with the subsequent introduction of big data. Methodology. The study is based on theoretical analysis, synthesis, generalization, data systematization, economic-statistical methods, and graphical data processing techniques. Results. The authors established that business integration in the current stage of digital economy development is a crucial factor in strengthening market positions by improving product quality and reducing costs. A review and analysis of the Russian Big Data and BI systems market were conducted. To determine the adaptation process of advanced Big Data technology in integrated business processes, business process integration tools linked with Big Data technologies were identified. A comprehensive assessment of business process integration efficiency in production was performed, demonstrating an increase in efficiency due to Big Data implementation. Conclusions. The study demonstrated the effectiveness of implementing Big Data technologies in consolidation-oriented business processes, revealing the specifics of their adaptation.

Authors

Institutions

Publication Details

Journal
Proceedings of the Southwest State University Series Economics Sociology and Management
Published
2025-03-13
DOI
https://doi.org/10.21869/2223-1552-2025-15-1-65-81
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accommodation of Big Data technology in business integration processes

R. Yu. Cherkashnev, S. V. Kolmykova, A. V. Bazhanov
Proceedings of the Southwest State University Series Economics Sociology and Management
Big Data and Business Intelligence
article

Accommodation of Big Data technology in business integration processes

R. Yu. Cherkashnev, S. V. Kolmykova, A. V. Bazhanov
article en

Abstract

Relevance. One of the preventive measures to improve the efficiency of any enterprise is the integration of various business components. At the same time, the development of cross-cutting technologies contributes to the gradual involvement of different business sectors in the digital space. The implementation of such technologies within companies necessitates the reorganization of business processes. The key issue is the exploration of the littlestudied process of consolidating Big Data technology as the foundation for integrating business components. The purpose of the study is to determine the adaptive properties of Big Data technology in the context of business process integration. Objectives. The research objectives involve studying the specifics of the business integration process; investigating the principle of big data functioning in the context of processing continuously growing information flows; identifying the main tools for integrating business processes associated with Big Data technologies; determining a comprehensive assessment of the effectiveness of business process integration in production with the subsequent introduction of big data. Methodology. The study is based on theoretical analysis, synthesis, generalization, data systematization, economic-statistical methods, and graphical data processing techniques. Results. The authors established that business integration in the current stage of digital economy development is a crucial factor in strengthening market positions by improving product quality and reducing costs. A review and analysis of the Russian Big Data and BI systems market were conducted. To determine the adaptation process of advanced Big Data technology in integrated business processes, business process integration tools linked with Big Data technologies were identified. A comprehensive assessment of business process integration efficiency in production was performed, demonstrating an increase in efficiency due to Big Data implementation. Conclusions. The study demonstrated the effectiveness of implementing Big Data technologies in consolidation-oriented business processes, revealing the specifics of their adaptation.

Proceedings of the Southwest State University Series Economics Sociology and ManagementVol. 15(1)
Tambov State University (RU), Tambov State Technical University (RU)
Openalex Percentile: Top 93%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.