Abstract
Technological advancements have led to the generation of massive amounts of data across industries, including the airline sector. Leveraging big data analytics allows valuable insights to be derived from these vast datasets. A total of twenty research papers were reviewed, and electronic databases such as Web of Science, ScienceDirect, Google Scholars, and IEEE Xplore were utilized to gather relevant studies. The search keywords included "big data analytics," "airlines industry," "data mining," "predictive analytics," and "machine learning." The findings highlight the diverse application areas of Big Data Analytics (BDA) in the airline industry, including airline operation and optimization, service quality and customer satisfaction, risk management and safety, and aircraft maintenance. The review also identifies key challenges associated with BDA implementation in the airline industry: data integration, regulatory compliance, and data privacy and security concerns. Overall, this review paper provides valuable insights into the application of BDA in the airline industry and the associated challenges. It contributes to the existing knowledge base and offers a foundation for future research and practical implementations in this domain.
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