Advanced data analytics and business intelligence: Building resilience in risk management

Abstract

This paper explores the transformative role of advanced data analytics, business intelligence (BI), and artificial intelligence (AI) in enhancing risk management strategies for organizations navigating digital transformation and cybersecurity challenges. It examines how predictive analytics enables the early identification and mitigation of risks, empowering businesses to adopt proactive measures. The integration of BI tools is highlighted for their ability to support strategic decision-making under uncertainty through data visualization, scenario planning, and real-time insights. Additionally, the paper underscores the revolutionary impact of AI in cybersecurity frameworks, including automated anomaly detection and rapid response to emerging threats. Future trends such as explainable AI and AI-driven threat intelligence are discussed, emphasizing their potential to reshape risk management practices. The paper concludes with practical recommendations for organizations aiming to build resilience by adopting these technologies and fostering a data-driven culture.