Download or read book Identification of Big Data Use-cases in Airline Operations written by Anna Achenbach and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The airline industry is one of the most competitive industries in the world. The struggle for market share translates into a high pressure for both commercial and operational functions. In the past operations research has helped airlines to significantly increase their efficiency by applying advanced mathematical models. With big data new developments in the area of data analytics are expected. The airline industry is just now catching on to this innovative trend. Few use-cases are implemented as of today, but the value big data analytics can deliver, has been shown in many other industries such as the retail industry and the financial sector. Within the airline industry there is a strong interest in investigating the possible benefits and applications of big data analytics both for commercial and operational functions. With the focus on airline operations this thesis aims at providing a detailed overview of the current status of big data analytics as well as identifying future areas for big data analytics in airline operations. A literature review and ten expert interviews make up the basis for this study.The results of the study show the importance and relevance of the topic in today`s airline industry. All experts were in unison saying that big data will be a critical asset for airline operations. As of today there are several use-cases of big data analytics in place, but only very few have passed the piloting stage. Considering both the insights gained in the literature review and during the expert interviews the following areas of airline operations are regarded most promising for future research: predictive maintenance, fuel efficiency, crew scheduling and delay prediction. Overall there is a very high interest in this field and further research should be conducted.