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- Title
From Descriptive to Prescriptive Analytics: Turkish Airlines Case Study.
- Authors
AKPINAR, Musab Talha; SEÇKİN CODAL, Keziban
- Abstract
Recent years, evolving technologies have increased importance of data analytics and have extended the potential of using data-driven for decision-making process in different sectors as it has also been shown in civil aviation. The aviation industry supports $2.7 trillion (3.5%) of the world's GDP thus, it has always been seen to have an inherently strategic role. Propose of this study is an integrated model that combines descriptive analytics (multidimensional analytics) predictive analytics (data mining and more) and prescriptive analytics (MCDM/DEMATEL) in order to extract the critical factors for the improvement of airline baggage optimizations. The data has taken from Turkish Airlines which is one of the biggest 10 airlines in terms of the passenger number. Descriptive analytics results have set a precedent implication of multidimensional reports for service sector. In addition, rules that arise as outcomes of predictive analytics have really significant knowledge for marketing and planning department in civil aviation. Furthermore, they will help to solve some optimization problem in air transportation sector. Owing to prescriptive analytics, displayed results supported by the MCDM (DEMATEL) methods. Therefore, all stages of the analytics have been shown step by step on the real-world data implementation.
- Subjects
TURKISH Airlines Inc.; DECISION support systems; SERVICE industries; DATA mining; MULTIPLE criteria decision making; MARKETING planning; AIR travelers; MULTIDIMENSIONAL databases
- Publication
Adam Academy Journal of Social Sciences / Adam Akademi Sosyal Bilimler Dergisi, 2023, Vol 13, Issue 1, p99
- ISSN
2146-4936
- Publication type
Article
- DOI
10.31679/adamakademi.1232332