Issue |
MATEC Web Conf.
Volume 304, 2019
9th EASN International Conference on “Innovation in Aviation & Space”
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 8 | |
Section | Systems | |
DOI | https://doi.org/10.1051/matecconf/201930404002 | |
Published online | 17 December 2019 |
Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace
1
Suite5 Data Intelligence Solutions Limited,
95B Arch. Makariou III,
3020 Limassol,
Cyprus
2
TXT e-Solutions SPA,
Via Frigia 27,
20126 Milano,
Italy
3
UBITECH,
8 Thessalias
152 31
Chalandri,
Greece
* Corresponding author: fenareti@suite5.eu
Today, digital transformation has drifted all industries with its proven capacity to improve operations and boost revenues while building a value chain ecosystem. The aeronautics ecosystem is almost unanimously invested in some way into a digital transformation strategy in which data typically plays an instrumental role. However, despite the vast quantity of data across myriad parameters that never stop flowing across the aircraft-passengers-luggage-cargo journeys, the aviation-related stakeholders are still at a relative disadvantage in terms of data gathering and sharing, especially since the eternal questions of “who owns the aircraft” and “who owns the passenger” remain open. In this contact, the present paper focuses on the design and delivery of the ICARUS data and intelligence platform that aims to enable trusted and fair data sharing and insightful data analytics in an end-to-end secure manner. The methodology followed during the implementation of the ICARUS platform is defined, the aviation data value chain is elaborated, the ICARUS Minimum Viable Product is outlined and the theoretical foundations of the ICARUS data management and value enrichment methods are introduced, giving way to a brief reference to the ICARUS unique selling points and platform implementation.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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