catalytic effect of big data on tourism in lut desert-iran

Big data amalgamation of structured, substructure, and unstructured data, characterized by its vast size and complexity, which often exceeds the capacity of conventional tools for storage, management, and processing. this data exhibits exponential growth over time, rapidly expanding from several terabytes to multiple petabytes (equivalent to thousands of terabytes). each of the iranian organizations, ministries, and government agencies involved in the tourism industry maintains different databases, but they operate independently. meanwhile, one of the most attractive tourist attractions in the world, lut desert, as the 27th largest desert in the world, is located in iran with a variety of ecosystems, eco-tourism and geo-tourism attractions. therefore, through the aggregation and integration of these databases, coupled with analysis and other strategic investments, we have the potential to showcase the lut desert's attractions to tourists. encouraging policymakers to invest in emerging technologies can facilitate the shift from a resource-based economy to a knowledge-based one. leveraging big data in the tourism sector can drive development and transformation in this region. in this article, five key methods were analyzed: personalized marketing, demand forecasting, customer experience improvement, destination awareness, and risk & security management. the results show that big data has become an asset in the tourism industry and can support strategic decision-making, boosting businesses and tourism destinations. from personalized marketing to demand forecasting, enhancing customer experiences, destination awareness and risk management, big data is changing the way tourism works. as the industry continues to evolve, the utilize of big data is critical in this competitive market and can address the evolving requirements of modern-day travelers.