관광 및 환대산업 분야에서의 빅데이터 활용 사례 분석

As big data analysis is being used for forecasting near-future trends and figuring out more accurate customer demands, tourism and hospitality industries are expected to have important benefits from big data analysis. Moreover, the use of big data analysis can give strategic guidelines for marketing and advertising, which can result in cost reductions in marketing, quality improvements in festivals, and attracting first-time visitors. Therefore, it is considered necessary to conduct a research on the latest big data analysis methodologies to apply it in various ways in tourism and hospitality industries. The purpose of this study is to analyze the cases where big data has been used and figure out the ways big data can be applied more effectively in tourism and hospitality industries. Based on extensive review, economic effect and spending pattern, pattern analysis of tourist movement, keyword analysis by network analysis are extracted for typical types of big data analysis. According to three types, several cases were discussed and implications were suggested.