Natural disasters are severe events that result from natural processes of the Earth and pose serious threats to human life, infrastructure, and economic stability. Events such as earthquakes, cyclones, floods, tsunamis, volcanic eruptions, and landslides occur naturally, but they become disasters when they interact with vulnerable human populations. Throughout history, these phenomena have caused widespread destruction, revealing the close relationship between environmental forces and human development. During the decade from 1990 to 1999, natural disasters resulted in more than 407,000 people worldwide being reported dead or missing. Although this figure is alarming, the average annual number of casualties during this period was approximately 28 percent lower than the average recorded between 1965 and 1999. This reduction reflects gradual improvements in disaster management, including better forecasting technologies, early warning systems, emergency planning, and international cooperation. Despite these advancements, the human toll remained high, particularly in regions with dense populations, weak infrastructure, and limited resources. Among all types of natural disasters, cyclones, earthquakes, and floods were responsible for over 90 percent of the casualties during the 1990s. Cyclones often cause extensive damage due to powerful winds, heavy rainfall, and storm surges, especially in coastal areas where many people live. Earthquakes are particularly dangerous because they occur suddenly and can destroy entire cities within seconds, often triggering secondary hazards such as fires, landslides, or tsunamis. Floods, while sometimes slower in onset, can affect large areas, destroy crops, contaminate water supplies, and disrupt livelihoods for long periods. These three hazards demonstrate how natural forces can quickly overwhelm human systems. The true significance of natural disasters goes beyond the number of deaths and injuries they cause. Their broader impact on society and the economy is often far more damaging and long-lasting. Natural disasters can halt economic activity, destroy infrastructure, increase poverty, and strain government resources. They may disrupt education and healthcare systems, displace communities, and slow development for years or even decades. For this reason, natural disasters are considered primary events that can trigger secondary social and economic crises. Understanding these wider consequences has led to a shift in disaster management strategies toward prevention and preparedness. Rather than focusing solely on emergency response, greater emphasis is now placed on identifying potential hazards, assessing risks, and reducing vulnerability. Preparedness measures include public awareness campaigns, disaster drills, improved building standards, and effective land-use planning. Additionally, post-disaster research plays a crucial role in learning from past events. Multidisciplinary investigation teams analyze disasters from scientific, social, and economic perspectives to improve future planning and resilience. In conclusion, while natural disasters cannot be prevented, their impacts can be significantly reduced. By prioritizing preparedness, risk assessment, and learning from experience, societies can better protect lives and build resilience against the unavoidable forces of nature. A key role of computer scientists has been in devising ways to manage and analyze the data produced in Disaster management situations. This paper the natural disaster mitigation through risk analysis approach management of data in disaster situations. To apply Risk Analysis, it is necessary to differentiate Societal and Economic Risk. Because they do not coincide in different hazards and environments, and priority in government action might focus, in application of the Subsidiary Principle, more on protection of human life than on minimization of economic losses. For the latter there are tools such as insurance with penalties for risk exposure, from hazard maps, the best and first investment in any mitigation strategy.