This lecture explores the concepts of Data Storytelling and the Big Data value chain in the context of Natural Disaster Management. It delves into the significance of effectively communicating data to inform decision-making and seeks to uncover the potential of utilizing big data to improve disaster response and mitigation efforts. The lecture discusses the challenges posed by natural disasters and the need for comprehensive data analysis to understand their impacts. It presents Data Storytelling as a powerful tool to present complex data in a compelling and understandable manner, empowering stakeholders to make informed choices. Furthermore, the lecture examines the Big Data value chain, emphasizing its components such as data acquisition, storage, processing, analysis, visualization, and interpretation, and their crucial role in disaster management. It highlights how this chain can enable improved situational awareness, early warning systems, resource allocation, and risk assessment. Through a combination of case studies and interactive discussions, the lecture aims to equip participants with the knowledge and skills to harness the potential of data storytelling and the big data value chain to enhance natural disaster management strategies.