The tourism and travel industry is not only rich in adventures and experiences, it is also a data-rich industry. This comes to evidence as travelers create digital footprints throughout their journey - from online bookings, reviews, social media posts and credit card transactions, to critical data gathered and managed by governmental entities and tourism-related organizations
The tourism and travel industry is not only rich in adventures and experiences, it is also a data-rich industry. This comes to evidence as travelers create digital footprints throughout their journey - from online bookings, reviews, social media posts and credit card transactions, to critical data gathered and managed by governmental entities and tourism-related organizations. This wealth of data presents a valuable opportunity for the tourism industry to uncover insights and support better and timely decision-making, which is something that Thunderbird students achieved as part of its final project in the Big Data in the Age of the Global Economy course.
In the current digital era, big data's omnipresence is reshaping industries globally. Its ability to parse volumes of complex information has become a cornerstone of innovation and efficiency. In every corner of the world, businesses across sectors are harnessing this power to make more informed decisions, streamline operations, and unlock new opportunities.
The tourism industry, a critical engine for economic and social development in different countries worldwide as outlined by the World Tourism Organization (WTO), is no exception. With its multifaceted interactions and global footprint, it stands to gain immensely from the integration of big data and business analytics. The industry's unique ability to synthesize vast amounts of data — from traveler behaviors to spending patterns and environmental impacts — enables a deeper understanding of both opportunities and challenges.
“Some of the data-driven analyses and decisions that organizations in the tourism industry can take nowadays include: understand customer preferences; forecast visitor numbers; determine effective pricing strategies; unlock operational efficiency; improve marketing effectiveness; personalize the visitor’s experience through recommendation algorithms that suggest tours, restaurants and other personalized offerings in a destination; improve adaptability towards macroeconomics and microeconomics trends; and even sustainability measurement by analyzing data from sources like visitor surveys, traffic sensors and waste management,†said Professor Serrato, who led this project as part of the Big Data in the Age of the Global Economy course he teaches. “However, much of this data remains siloed and inaccessible. So opening up more tourism data and combining it with big data, business analytics and even artificial intelligence (AI) techniques can empower tourism organizations to make smarter and timely choices that benefit both local economies and travelers.â€
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[This article has been reproduced with permission from Knowledge Network, the online thought leadership platform for Thunderbird School of Global Management https://thunderbird.asu.edu/knowledge-network/]