A Flexible and Adaptable Airport Operations and Flight Data Manager
Conventional AODBs are rigid, and they get in the way of operational excellence
However, with conventional AODBs, it is the operators who have to adapt their business processes to the system, instead of making the system work for them. They have to perform workarounds to achieve their desired results.
Achieve new levels of operational efficiency with tNexus AOM
It processes all updates received from integrated systems and aviation messages, then applies the necessary business logic to provide operators with an intuitive interface where they can manage flight data and movements in real-time.
The system is designed to help airports achieve on-time performance by equipping operators with a wide range of advanced and customizable functionalities that enrich their data sets, optimize airport processes, and improve the predictability of events.
Benefits and Advantages
Helps achieve common situational awareness and collaborative-decision making
Offers a centralized, real-time interface to all flight data elements, including the tracking capability of the 16 standard ACDM milestones
Provides timely and accurate data
Continuously presents flight schedule updates to make sure that operators always get the latest information
Enables effective intervention of operational exceptions
A smart and flexible rules engine allows operators to create unlimited alerts tailored to their unique and specific needs
Enhances user experience and productivity
Provides various customizations that streamline the individual user’s workflow and optimize their operational processes, e.g. configuring and generating alerts as per business needs; advanced filtering, grouping, and sorting of flight data for custom and shareable views; and many more
Auto-linking of flight movements
Automatically generates inbound to outbound flight linkages based on derived calculations
Guarantees the availability and reliability of data
Users can manage new and unlimited data sources on-the-fly and assign their priority settings for each source
Improves the predictability of events
Built-in machine learning and on-the-fly derivations allow airports to expand their data model and enrich their existing data sets