But first, what is an onboarding? After the ink has dried and an airline has made the decision to join the Skywise community, a team of engineers and project managers arrive onsite equipped with the Skywise platform. Our team has three goals in mind for every airline: integrate the data, design workflows, and empower users.
As Lead Data Scientist, my aim is to make sure that we hit each of these goals in a way that maximizes operational value for the airline. First, the data: We focus on retrieving and integrating the disparate data sources – maintenance, flight ops, sensor data, and more, to ultimately assemble a 360˚ view of the airline’s operations. We collaborated with Azul’s IT department to lay out the requirements for accessing source systems and configuring Azul’s data connection so they could connect directly to Skywise’s cloud platform. Once we’ve retrieved the data, we organize it into a common language called an “ontology.” An ontology, simply put, is a business-driven framework that presents the data in a way that makes sense for the whole enterprise. Rather than having various teams work with arbitrary cuts of arcane backend tables pieced together from any number of source systems, we reshape the data into recognizable business objects like aircrafts, logbook defects, and flights. In other words, a robust airline ontology allows any airline analyst on any team to interact with the same set of operationally relevant objects. Not only does this singular source significantly increase collaboration across the enterprise, but it also provides strategic decision makers a genuine view of the whole company’s operations in digital form.