The rapid growth of digital technologies has generated unprecedented volumes of financial and non-financial data, creating new opportunities for data-driven decision-making in financial management. Big Data refers to large, complex, and rapidly generated datasets that exceed the capabilities of traditional data processing systems. Financial institutions and organizations increasingly utilize Big Data technologies to improve forecasting, risk management, fraud detection, investment decision-making, customer analytics, and operational efficiency. This study examines the applications of Big Data in financial management, exploring its technological foundations, strategic benefits, implementation challenges, and future developments. The findings indicate that Big Data significantly enhances organizational agility, predictive capabilities, financial performance, and competitive advantage. However, challenges related to data privacy, cybersecurity, governance, integration, and analytical expertise remain important concerns. The study concludes that Big Data analytics is becoming a critical capability for modern financial management and sustainable business growth.