Big Data Analytics in Corporate Financial Planning

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.