DAIA deliver a scalable and resilient data plaform with up to date technology in order to process your data efficiently.
In a few years, most companies will use data to take better decisions. They will simply become data-driven.
DAIA is developing a cloud platform and tools to support its customers in enhancing their data assets and rethinking the management of their activities using data.
Our platform supports modern practices and constitutes the technological foundation on which to build a Data strategy, by combining the tools of Data Analytics and Data Science.
It makes it easier to use the data from your airport information system and allows you to anticipate changes in air traffic, by measuring the impact on airport resources and passenger reception capacity without performance or volume compromise.
PGS - Air traffic impact simulation tool
PGS helps maximize resource allocation and facilitates decision-making on investment forecasts.
Determine the evolution of passenger traffic by configuring a set of criteria and visualize the results of your different scenarios.
Our simulations give you a 360° view of the impact of an increase or decrease in traffic on your resources with an impact precision by minute.
PGS allows you to predict the moment when your airport infrastructure will no longer be able to cope with an increase in passenger numbers. It guide your choices and helps you manage your strategy based on tangible data.
ARES - Analytics suite
ARES provides standard analytical reports by cross-referencing your flight, passenger, baggage, and retail data.
Take advantage of your analytical reports with a powerful and robust tools capable of rendering the data collected and stored on our data platform.
Verify your CDM compliance by analyzing your adherence and scores.
Support to data-driven approach
Think Big, Start Small, Scale Fast !
Our approach makes it possible to achieve your objectives by deploying step by step changes.
A Data Driven approach designates a global management approach in which decisions are supported by the valorization of the company's data.
Ineluctably, the data is fragmented because it is born in silos, is managed in a very vertical way and undergoes changes in organizations.
To break this verticality, it is necessary to set up continuous processes requiring increased governance by launching a corporate, collective and transversal approach.