Airport operations generate an increasing amount of data from an expanding number of sources. One area in particular that can provide essential operational information is the baggage handling system, but data is only useful if it is analysed and understood properly.
Understanding and working with data are extremely valuable tools. This is particularly important in view of the baggage handling system’s key role in for achieving shorter connection times, handling an increasing number of passengers and delivering a superior passenger experience in an environment with increased dynamics.
These are among the drivers that put pressure on how a baggage handling system is maintained, operated and managed. With this in mind BEUMER Group has established a data warehouse to which data is streamed in real time from a growing number of sites.
Real time dashboards
Central data storage
Broadened learning perspective
INSIGHTS IN SYSTEM PERFORMANCE
By use of today’s tools for big data mining, streamed data can be enriched and filtered to secure the quality of the data, which is aggregated and prepared for simple visualisation. This type of data mining not only provides insight into the current performance of a baggage handling system, but also enables the build-up of a historical record for future investigations and learnings across a number of systems.
PREDICTIVE AND PRESCRIPTIVE
At BEUMER Group we have worked with data for a number of years and have used these learnings to extend our services to the predictive and prescriptive level.