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data analytics

data analytics
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DATA ANALYTICS 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. This is particularly important in view of the baggage handling system’s key role in achieving shorter connection times, handling an increasing number of passengers and delivering a superior passenger experience in an environment with increased dynamics. ›› Real time dashboards ›› Customisable ›› Central data storage ›› Broadened learning perspective ›› Abnormality detection ›› Trend detection ›› Predictive and prescriptive maintenance ›› Supporting operational decisions ›› Enabling data-driven asset management ›› Visualisations tailored for specific roles and/or focus areas ›› Moving from ‘What we think’ to ‘What we know’. 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

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Streamed data is enriched and filtered to secure the quality of the data, which is aggregated and prepared for simple visualisation. BEUMER Group relies on standard commercial-off-the-shelf tools for data mining to ensure full flexibility in this rapidly developing environment. This central data storage not only provides insight into the current performance of the baggage handling system, but critically also enables the build-up of a historical record for future investigations and learnings across a number of systems. Having such data provides the ability to compare system performance with...

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data analytics 2Pages

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data analytics
2Pages