Big Data Technology in Corporate Financial Analysis: A Systematic Literature Review

Sihan Zhang

doi:10.71204/rdgxkd34

Authors

Sihan Zhang Hebei University Author

DOI:

https://doi.org/10.71204/rdgxkd34

Keywords:

Big Data Technology, Financial Analysis, Data Integration, Decision Support

Abstract

In the digital era, the rapid advancement of information technology and the deepening of corporate digital transformation have made big data technology an indispensable tool for supporting financial analysis. This paper presents a comprehensive review of the application of big data technology in corporate financial analysis, systematically synthesizing relevant studies from both domestic and international literature. First, it outlines the fundamental concepts of big data technology and corporate financial analysis, followed by a critical examination of existing research from three perspectives: technology types, application domains, and research methodologies. Building on this analysis, the paper proposes a "technology–data–decision" mechanism of action and elaborates on specific application scenarios within corporate financial analysis, including refined cost management, decision-support analytics, risk management and early warning, as well as customer value and profitability assessment. Subsequently, it synthesizes the limitations of current research and highlights promising avenues for future inquiry. The findings of this review offer valuable insights for enterprises seeking to achieve a deeper integration of financial analysis and big data technologies in the information age.

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