“If the Wright brothers were alive today, Wilbur would have to fire Orville to reduce costs.”—Herb Kelleher, Southwest Airlines
The passenger aviation industry is facing a decline in the average ticket price. New low-cost airlines have introduced the concept of bare-bone tickets to the market, allowing customers to tailor their package to individual preferences. This shift in the aviation industry is giving airlines the opportunity to create a truly personalized customer experience needs—even beyond the time on board an aircraft. By adding new features to mobile apps, staying in touch with passengers prior and after the flight has never been easier.
Lufthansa German Airlines is investing in data and insights generation and introducing new big data and analytical technologies. This data- and insights-driven approach is key to providing passengers with the right information at the right point in time. Andreas Ribbrock explains how Lufthansa German Airlines uses data science and data-driven decision making to create the next level of digital customer experience along the full customer journey, focusing on the challenges encountered along the way as Lufthansa successfully developed a delivery approach combining foundational projects and Agile customer experience delivery. Andreas also explains how the Hadoop ecosystem supports this complex analytical value chain.
Andreas Ribbrock is principal data scientist at #zeroG, a Lufthansa Systems company, where he is building a big data architecture and data science team. Previously, Andreas was the head of product management and data scientist for Cupertino- and Cologne-based IoT database startup ParStream and the team leader for the data science practice of analytics heavyweight Teradata, where he delivered leading-edge data science solutions in various industries for global players like DHL Express, Deutsche Post, Lufthansa, Otto Group, Siemens, Deutsche Telekom, Vodafone Australia, and Volkswagen. He has presented at international conferences on topics related to big data architectures, data science, and data warehousing. Andreas holds a PhD in computer science from Bonn University. His fields of study included signal processing, data structures, and algorithms for content-based retrieval in nonrelationally structured data like images, audio signals, and 3D protein molecules.
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