Weather management, a newly emerging segment in big data utilization, will take advantage of meteorological information to analyze the behavior patterns of customers that change according to the weather and employ the resulting data in strategic management decisions. The purpose of weather management is to improve management efficiency by taking into account the impact of weather at the decision-making stage. In general, effective weather management produces business strategies that minimize losses due to changes in weather, and increases in sales by taking advantage of opportunities afforded by climate change.In Korea, research has been conducted on the effects of weather and climate change on the economy and industry, including : an analysis of economical & social impact of meteorological information (Korean Meteorological Society, 2004); the effects of and reactions to climate change in domestic industries (KCRC, 2009); ways to stimulate promising industries to adapt to climate change through the use of weather information (Green Growth Committee, 2012); a study on risk management strategies in Korea according to adaptation strategies of climate change by country (KEI, 2013) and finally, a big-data analysis of climate change-related disasters (Department of the Environment, 2016). Although there are some studies on the impact of weather and climate change on the economy and industry in Korea, a connection between the management and meteorological fields is still lacking.In the logistics and distribution sectors, where weather management is most used, companies analyze sales data gathered during changes in the weather. The resultant analysis is used to predict actual sales volume and expected sales. In other words, forecasting information about the weather is considered an important variable that can increase the company’s revenue. This kind of information and data accumulation can enable companies to utilize weather information in other fields, such as the clothing, food and beverage and tourism industries.The importance and application range of weather management as a big data utilization field, which is one of the elemental technologies of the ongoing 4th industrial revolution, is increasing. Again using the distribution industry for example, companies analyze longterm weather and supply-demand data to forecast sales prospects. The use of weather management ultimately reduces costs by controlling production (supply) and minimizing associated inventory and storage expenses. At the same time, companies hope to expand growth potential in a wide range of areas, such as marketing, social contribution, and accident prevention through increased sales. Climate change also affects social systems and industrial structures. Currently, industries grow or depress depending on the proper or improper utilization of weather management techniques. This proves that the influence of such information is significant. Therefore, the business outlook for weather management using big data is optimistic. Weather management can affect a wide variety of industries and can be applied in multiple ways, so efforts for successful implementation must be accompanied.As can be seen in Figure 2, industry perception of climate change is different from the past, and many now view climate change as an opportunity, not just a crisis. This suggests that new products and services to adapt to the changing climate are being developed, and that related markets are being formed. The downside to using big data is the possibility of privacy infringement. However, weather management using big data is a field in which public information, rather than individuals’ personal information, is more commonly used, alleviating concerns of privacy infringement. This makes future development in the field more likely. This study will introduce some of the general aspects of weather management that have been in the spotlight recently, and examine associated domestic and foreign weather management cases. It will also discuss the success factors of weather management and the possibilities of climate-related big data
