Open-Data Mining in Tourism: Implications for Marketing Strategy

Abstract

As technology advances, researchers will access new and advanced statistical techniques. This study examined the behavior of inbound visitors in the United Arab Emirates using data mining tools such as Bayanat, Statistica, and open government data. The study findings show customers' origins, nationalities, and visits by roughly compared observations. The researchers concluded that the biggest motivator for travelers' future visits to the UAE is not the experiences they had during their most recent visit but rather the experiences they expect to have in the future, such as visiting tourist attractions and seeing UAE improvements. The data mining approach almost eliminates researcher subjectivity. It allows for the valuable discovery of specific visitor patterns in massive data sets, giving governments and destination marketing organizations more tools to create effective destination marketing plans. The main goal of this study is to discuss and show data mining and its use in travel and tourism. This study aims to examine today's competitive environment for travel and tourism. To grow their market and maintain control, these organizations are being pushed to avoid using data mining tools and techniques to produce, manage, and advertise tourist products and services. The purpose of this study is to discuss and show data mining and its use in travel and tourism.