Data-driven decisions are pivotal to optimising airport performance
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Posted: 24 September 2020 | ST Engineering | No comments yet
AGIL™ airport analytics provides unique solutions to enable business leaders, executives and operational teams with analytic capabilities.
AGIL™ Airport Analytics provides advanced yet unique solutions to enable business leaders, executives and operational teams with analytics capabilities. Powered by machine learning/artificial intelligence (ML/AI), AGIL Airport Analytics support data-driven and fact-based decision making.
As air traffic doubles every 10-15 years, surging air transport demand threatens to outstrip current and planned airport infrastructure in many regions around the world. These challenges drive the increasing need to use analytics to determine insights from past trends and patterns, to predict future passengers and operation efficiencies.
The AGIL Airport Analytics solution provides business intelligence dashboards with the ability to visualise metrics and key performance indicators (KPIs) as well as having a real-time data-driven view of airport operations; accurately measuring operational performance.
The enterprise-wide solution offers in-depth analytics in all areas of the airport business, integrating data into a centralised data warehouse, enabling predictive analytics that helps stakeholders analyse current and historical data to make predictions about future and unknown events. This optimises operational performance and management of passenger flows, resulting in reduced wait time and enhanced passenger experience.
Airport Collaborative Decision Making (A-CDM), Big data, New technologies