How do data scientists and business experts best bring their expertise into a productive state?
Presented by Dr. Stanislaw Schmal and Dr. Fabian Werner, Lufthansa
Lufthansa Industry Solutions developed an approach to operationalize data analytics at organizations. This includes not just a focus on the IT needed, but also on our customers’ business as a whole, bearing in mind the internal and external challenges it faces.
We will give a general overview over predictive analytics use cases at Lufthansa and show some practical use cases from the airline industry such as the prediction of arrival times of aircrafts. This includes some words on techniques and technology, which were used in order to tackle these exciting cases. A prototype will be shown on how data is processed when an aircraft takes off and predictions are made.
Furthermore, we developed a WebApp for measuring the performance, an evaluation process and a supervisor, which regularly checks whether or not the model building, rolling window, and prediction processes work as expected.
Finally, we will discuss the benefits of such predictions for an airline. The Hub Control Center may detect short-timed connections in advance and cause counter measures like a direct transfer of passengers from their inbound flight to their outbound flight. We plan to extend the model in a way that it will incorporate live geolocalization data about flights all over the world.
rmw18-lufthansa-data-analytics
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