Integrating Multidimensional Big Data Analytics with Dynamic Financial Risk Assessment to Strengthen Decision-Making Frameworks

Abstract

The integration of multidimensional big data analytics with dynamic financial risk assessment has become pivotal in enhancing decision-making frameworks across industries. This study explores the synergy between advanced analytics techniques and financial risk management, leveraging historical and predictive data to optimize decision accuracy and efficiency. A conceptual framework is developed, highlighting the interplay between data dimensions, financial indicators, and adaptive modeling. The findings emphasize the transformative potential of big data analytics in financial decision-making, offering significant implications for policymakers and organizations.