EVALUATING THE ROLE OF BIG DATA IN U.S. DISASTER MITIGATION AND RESPONSE: A GEOLOGICAL AND BUSINESS PERSPECTIVE

Abstract

Navigating the complex nexus of big data's application in U.S. disaster mitigation and response, this study embarks on an intellectual odyssey to unravel the dynamic interplay between geology and business. Set against the backdrop of an increasingly data-driven world, the research delves into the transformative potential of big data in revolutionizing disaster management paradigms.
 The expedition of this paper is twofold: to dissect the evolutionary trajectory of big data in the realm of disaster management and to illuminate its economic ramifications and theoretical underpinnings. The scope of this inquiry extends to a meticulous examination of the efficacy of big data in forecasting natural disasters, optimizing disaster response mechanisms and evaluating their economic and environmental impacts. Employing a methodological tapestry woven with qualitative analyses, the study meticulously synthesizes a spectrum of peer-reviewed literature. This scholarly pursuit unveils that big data stands as a beacon of innovation, significantly bolstering the precision of disaster predictions, streamlining response strategies and fortifying economic resilience. The fusion of geological acumen with strategic business insights emerges as a cornerstone in crafting adept disaster management strategies.
 The crescendo of this scholarly narrative underscores big data as a pivotal catalyst in the metamorphosis of disaster management strategies. The paper advocates for an embracement of big data by policymakers and disaster management aficionados, urging its integration for crafting more resilient, efficient, and sustainable disaster responses. The horizon of future research is marked by a quest to bridge existing gaps, with a clarion call for enhancing real-time disaster responses and predictive prowess. This scholarly discourse offers a prism through which the impact of big data in disaster management is not only understood but also harnessed, providing invaluable insights for academia, policy formulation and practical implementation.
 Keywords: Big Data, Disaster Management, Predictive Analytics, Geological Insights, Business Strategies, Disaster Resilience.