ABSTRACT
This study explores the dynamic area of integrating business intelligence (BI) into the recognized risk management framework. Utilizing BI technologies and methodologies is intended to improve risk assessment, prediction, and mitigation, strengthening an organization's resilience to various threats in the process. The comprehensive examination of risk factors relevant to an organization's operations and industry is part of this revolutionary endeavor. It involves gathering and analyzing enormous statistics in order to find hidden patterns, trends, and anomalies that could be signs of danger. This study's theoretical framework is based on a variety of ideas, including agency theory, stakeholder theory, prospect theory, crisis management theory, expected utility theory. These ideas offer crucial insights into how businesses view and handle risk. The research also examines how BI tools can be used in risk management in real-world scenarios, such as real-time monitoring, streamlined reporting, and proactive risk reduction. It examines how well these tools may be tailored to deal with particular risk categories, such as financial, operational, and reputational threats. This integration enables businesses to make data-driven decisions, predict hazards, act quickly when they arise, and improve their risk management tactics. The results have the potential to boost overall performance, increase competitiveness, and strengthen organizational resilience in a business environment that is becoming more unpredictable.
