Increase efficiency and connect your aviation ecosystem

Aviation data is increasing exponentially in regard to volume, variety and velocity. Typically, this data is kept in different silos and in a variety of formats across multiple stakeholders. As a result, data quality and consistency suffer. Furthermore, there is no overarching repository that pulls all data together onto a single platform. That means data elements that belong together are often fragmented across systems. For example, baggage and flight data for a transfer bag may vary from system to system throughout a journey. The result: inconsistencies and uncorrelated data objects. The ability to combine, compare and process data sets requires transformation on a case-by-case basis.

A centralized, indexed and homogeneous data source for airport processes

Aviation Data Hub is a big data management model that acts as a central repository for all functions involved in operating an airport. This could be baggage and cargo handling systems, air traffic management, or building and energy management systems. When data is pulled from various systems, airport operators can make correlations between multiple functions to derive the most efficient operating model. This is important to provide transparency on operational performance for example in baggage handling processes to improve the passenger experience.
The goal is to provide airport stakeholders with a centralized, indexed, harmonized, homogeneous data source. That allows a diverse set of business users to benefit from real-time information delivered via different means, such as dashboards or mobile and desktop applications.

The Aviation Data Hub consists of:

  • Industry-standard domain models such as IATA’s Airline Industry Data Model (AIDM) and ACI’s Aviation Community Recommended Information Services (ACRIS) with precise definition of all data elements and their relationships
  • A technical solution to normalize, distribute and share data
  • Modern and future-proof interfaces (APIs)
  • State-of-the-art protocols to interact with the interfaces
  • An off-the-shelf adapter to Siemens baggage handling systems and to third-party systems


  • Single point of truth thanks to the normalization of data from different providers
  • Enabler for efficient application management, deployment and integration
  • Scalable data model applicable for different domains and objects across several departments
  • Software-as-a-Service model for the highest data security standards while maximizing availability, data privacy, data integrity and data consistency, and optimizing IT operations costs
  • Reduced integration efforts due to loose coupling and fewer direct connections between data providers and consumers