Big Data Analytics in Corporate Financial Planning

  • Authors

    • N. Seshagiri Information Technology Pioneer, National Informatics Centre, India. Author

    DOI:

    https://doi.org/10.67228/3071642X/IJCFDE-2024PI7T9A

    Published 01-04-2024

  • Big Data Analytics, Corporate Financial Planning, Business Intelligence, Financial Forecasting, Predictive Analytics, Machine Learning, Artificial Intelligence, Financial Decision Support, Data Mining, Risk Management, Budget Optimization, Enterprise Analytics, Cloud Computing

    Issue

    Vol. 7 No. 1 (2024)

    Section

    Articles

    How to Cite

    N, S. (2024). Big Data Analytics in Corporate Financial Planning. International Journal of Commerce, Finance and Digital Economy, 7(1), 01-14. https://doi.org/10.67228/3071642X/IJCFDE-2024PI7T9A

  • Abstract

    Big Data Analytics (BDA) is transforming corporate financial planning by enabling organizations to analyze large volumes of financial and business data for accurate, data-driven decision-making. Unlike traditional forecasting methods, BDA integrates machine learning, predictive analytics, cloud computing, and artificial intelligence to improve budgeting, cash flow forecasting, risk management, investment planning, and resource allocation. The proposed framework combines data preprocessing, predictive modeling, optimization, and business intelligence dashboards to enhance financial forecasting accuracy and operational efficiency. It also addresses challenges such as data privacy, cybersecurity, regulatory compliance, model interpretability, and computational scalability. Overall, the framework supports intelligent, scalable, and real-time financial planning for modern enterprises.

  • References

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