Big Data and business network analysis: applications in management and optimization

Big Data has significantly transformed business operations, enabling deeper insights and more informed decision-making. Its impact is particularly evident in business network analysis, where companies can now dissect and understand complex supply chains and distribution systems like never before. Businesses can uncover hidden patterns and relationships by analyzing vast datasets, improving efficiency and decision-making processes. This paper explores the applications of Big Data in business network analysis, focusing on how it enhances supply chain visibility, risk management, and demand forecasting. It also addresses challenges like data privacy, security, and managing large datasets. Finally, the paper highlights potential future research directions, emphasizing areas for further development that could drive more innovation in using Big Data for business networks. Through this examination, the paper aims to clarify how Big Data is reshaping business networks and offer insights into this critical field’s continued evolution.

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Publication Details

Journal
HPU2 Journal of Science Natural Sciences and Technology
Published
2025-04-28
DOI
https://doi.org/10.56764/hpu2.jos.2025.4.01.60-70
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Big Data and business network analysis: applications in management and optimization

Kim-Thanh Tran Thi
HPU2 Journal of Science Natural Sciences and Technology
Big Data and Business Intelligence
article

Big Data and business network analysis: applications in management and optimization

Kim-Thanh Tran Thi
article en

Abstract

Big Data has significantly transformed business operations, enabling deeper insights and more informed decision-making. Its impact is particularly evident in business network analysis, where companies can now dissect and understand complex supply chains and distribution systems like never before. Businesses can uncover hidden patterns and relationships by analyzing vast datasets, improving efficiency and decision-making processes. This paper explores the applications of Big Data in business network analysis, focusing on how it enhances supply chain visibility, risk management, and demand forecasting. It also addresses challenges like data privacy, security, and managing large datasets. Finally, the paper highlights potential future research directions, emphasizing areas for further development that could drive more innovation in using Big Data for business networks. Through this examination, the paper aims to clarify how Big Data is reshaping business networks and offer insights into this critical field’s continued evolution.

HPU2 Journal of Science Natural Sciences and TechnologyVol. 4(01)
Hanoi University (VN)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
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