Corporate Finance Management in the Age of Big Data

Authors

  • Sharafudheen K Head of the PG Department of Commerce, Markaz Arts and Science College, Athavanad, India
  • Sabna Kallankunnan Assistant Professor, PG Department of Commerce, Markaz Arts and Science College, Athavanad, India
  • Vinitha. KN Assistant Professor, PG Department of Commerce, Markaz Arts and Science College, Athavanad, India
  • Sreesha S Assistant Professor, PG Department of Commerce, Markaz Arts and Science College, Athavanad, India
  • Asna V P Assistant Professor, Department of Management Studies, Markaz Arts and Science College, Athavanad, India
  • Raji NP. Assistant Professor, PG Department of Commerce, Markaz Arts and Science College, Athavanad, India

DOI:

https://doi.org/10.69980/bma.v12i1.2572

Keywords:

Big Data Analytics, Corporate Finance Management, Financial Performance, Profitability, Digital Transformation

Abstract

This study examines corporate finance management in the age of big data by analyzing trends in revenue, profitability, financial efficiency, and the relationships among major financial indicators. The objective of the study is to understand how data-driven financial analysis can support improved decision-making and long-term corporate performance. The research adopts a quantitative approach using secondary financial statement data covering the period from 2009 to 2023. The dataset was cleaned and standardized before analysis to ensure reliability and consistency. Various analytical techniques were applied, including descriptive statistics, trend analysis, scatter plot analysis, histograms, boxplots, financial ratio analysis, country-level profit comparison, and correlation matrix analysis. The analysis was conducted using Google Colab with Python-based data processing and visualization tools. The findings reveal a generally increasing revenue trend from 2009 to 2022, indicating improvement in corporate financial performance during the period. A strong positive relationship was observed between revenue and gross profit, suggesting that firms with higher revenue tend to achieve greater profitability. Financial ratio analysis indicates that most firms maintain moderate profitability levels and relatively low leverage structures. In addition, the correlation analysis demonstrates strong positive relationships among key financial indicators such as revenue, profit, net income, EBITDA, and market capitalization. These results highlight the interconnected nature of corporate financial performance indicators. Overall, the study concludes that big data analytics plays an important role in enhancing financial information quality, supporting more effective financial decision-making, and promoting sustainable corporate growth in the digital economy.

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Published

2026-07-03

How to Cite

Sharafudheen K, Sabna Kallankunnan, Vinitha. KN, Sreesha S, Asna V P, & Raji NP. (2026). Corporate Finance Management in the Age of Big Data. International Journal For Research In Business, Management And Accounting, 12(1), 05–18. https://doi.org/10.69980/bma.v12i1.2572