In an era marked by increasing volatility, complexity, and uncertainty, operational resilience has emerged as a critical priority for organizations seeking to maintain stability and competitiveness. The chapter “Operational Resilience Through Big Data: Navigating Complexity and Uncertainty for Agile Decision Making” explores the transformative potential of big data analytics in fostering operational resilience. As companies grapple with rapid technological advancements, global supply chain disruptions, and evolving market dynamics, the ability to respond swiftly and decisively has become essential for sustaining long-term performance. This chapter delves into the role of big data in enhancing organizational agility, enabling companies to anticipate disruptions, optimize resource allocation, and make data-driven decisions under uncertain conditions. By examining empirical studies and real-world case examples from industries such as manufacturing, logistics, and finance, we highlight how big data analytics can mitigate risks and unlock opportunities in dynamic environments. Empirical data from leading firms demonstrates that organizations leveraging big data analytics for decision-making experience up to 30?ster response times during operational crises and report significant improvements in supply chain performance and customer satisfaction. The chapter also explores key frameworks and tools, such as machine learning algorithms, predictive analytics, and real-time data processing, which empower firms to navigate complexity and uncertainty more effectively. Using these tools, businesses can not only identify patterns and trends but also predict future disruptions, allowing for proactive decision-making and strategic planning. Additionally, this chapter addresses the challenges of integrating big data into existing operational structures, including issues related to data governance, quality, and ethical concerns. In conclusion, the chapter posits that organizations embracing big data analytics not only improve their ability to withstand and recover from disruptions but also position themselves for sustained success in a rapidly evolving global landscape. The empirical evidence presented supports the notion that big data is not just a tool for operational efficiency but a strategic asset for navigating complexity and uncertainty in modern business environments.