Application of Big Data in Forecasting the Travel Behaviour of International Tourists

Big data is the most widely used and familiar phrase to describe the availability of data and exponential development in the modern world. Big data has barriers regarding the capture, search, visualization, storage, information privacy and analysis and they need innovations to expose hidden values from expansive sets of data that are complicate, massive and diverse in scale. Big data is providing new opportunities for modern living and providing up to date and immensely informed inferences considering the human behavior and activity that improves the tourism sector. Through each tourist huge number of information are present about everything that is similar to varied travel stages after and before a voyage. This study main purpose is to explain how big data analytics is useful in forecasting the travel preferences of international tourists. The Big data will be useful in examining the latest trends of tourist travellers by gathering the data from different centres of customer and develops a particular strategy of marketing for the target travellers. Big data is beneficial in tourist sector to take instant decisions as per the changing needs of tourist travellers. This study will be helpful for several researchers in tourism sector to understand the importance of big data to offer insights that are helpful or must be utilized for enhancing the behavior of tourist travellers. The tourism sector is slowly changing the Big data to predict new ways for enhancing opportunities, overall performance and decision making. The big data in tourism is a typical data generated by travellers themselves. The tourism sector in several countries are adopting the Big data applications to understand the tourism flows and invent huge number of chances in their country. Thus Big data will play a huge role in enhancing the growth of society and various business sectors in future.