A review of the literature was performed with relevant studies and databases to assess how Big Data Analytics (BDA) & Business Intelligence will be utilized in tourism marketing specifically for online reviews. Adopting the PRISMA-2020 methodology, between 2017 and 2024 this paper synthesizes a research on how these technologies contribute to improve both customer watchful over tourism sector as well market feedback from clients. The topics reviewed touch upon the analysis of restaurant or hotel reviews, for instance to predict satisfaction in international tourism with advanced techniques like text mining, sentiment analysis and neural networks. Findings reveal the revolution of Big Data on improving service quality, marketing approaches and customer satisfaction in tourism. Together with this research, it provides a complete framework to integrate Big Data and Business Intelligence in tourism marketing proving insights for industry practices and contributing to the academic literature on digital transformation in tourism.