Any aviation organization that fails to harness its vast data resources is missing out on many opportunities. Opportunities to minimize aircraft downtime, speed up turnaround, obliterate bottlenecks and increase profits.
Today, the aviation industry has access to more data than ever, and better tools to visualize it and make it meaningful. Companies can also monitor key metrics in real-time and make quick yet informed decisions.
In this article, we’ll look at how you can use such tools to achieve your operational goals.
What Does Advanced Reporting Involve?
Advanced reporting means moving beyond static spreadsheets or end-of-day reports to real-time dashboards and analytics. It involves collecting data from various operational areas (flights, GSE, workforce management, etc.) and presenting it in a centralized platform that stakeholders can access easily.
Unlike traditional reports that support a reactive approach, real-time reports can alert teams as soon as something is off track, enabling immediate resolution.
In ground handling specifically, reporting tools can log events and metrics throughout the turnaround process, from the moment an aircraft parks at the gate to the moment it departs.
Trend Analysis and Historical Insights
Real-time reporting is crucial for day-to-day management, but the analysis of historical data also has great potential. It helps in identifying recurring issues and improving future performance. It also provides a baseline to measure improvement.
Its value is illustrated by the fact that the global market for aviation analytics is forecast to reach USD 7.45 billion by 2032, up from USD 2.58 billion in 2024.
Example Insights
Seasonal and Weather-Related Trends
Trend analysis might reveal that average turnaround times tend to increase during certain hours of the day or certain months of the year.
Perhaps data shows that in winter months, turnaround time is consistently three minutes longer on average than in summer – maybe due to de-icing procedures or other weather-related factors. With this insight, managers can plan mitigations, such as allocating extra buffer time.
Baggage Handling Trends
Historical data might also show that a particular airline’s flights or a certain aircraft type routinely experiences delays in offloading checked baggage. This could highlight a need for process improvement or additional staff for those cases.
Safety Trends
What if the data shows that safety incidents spiked in a particular quarter? One might investigate what changed; was there a lot of new staff or a particular piece of equipment malfunctioning?
With this insight, appropriate changes could be made; maybe managers would seek to reduce time-to-productivity for new hires, or upgrade certain equipment.
Predictive Analytics
Combining historical and real-time data opens the door to predictive analytics. Machine learning algorithms can predict factors like passenger loads (and in turn, ground staffing needs) or anticipate when a flight might depart late.
Predictive models can analyze years of turnaround records alongside variables like weather and inbound flight delays, estimating the risk of a given flight running late. If a high risk level of risk is flagged (perhaps due to a tight connection), managers can preemptively arrange extra staff.
Key Ground Handling and Turnaround Metrics
With advanced reporting capabilities, different categories of metrics are brought into one unified view. This creates a comprehensive picture of performance across efficiency, timeliness, quality and safety. Here are some examples of how tracking different metrics can improve performance.
Turnaround Time
Turnaround time can be broken down into components (catering, fueling, boarding, etc.) to pinpoint bottlenecks. Of course, there are a number of metrics associated with each area, but high-level metrics include departure punctuality, departure delays, ground time recovery, ground time sufficiency, block time recovery, block time sufficiency, and aircraft readiness.
Monitoring on-time performance helps teams attribute delays to specific causes and improve the processes under their control.
Baggage Handling Metrics
This can include the left behind index, mishandled bag index, and the average delivery time of luggage to connecting flights. Dashboards may show the percentage of bags delivered without issues and highlight any baggage connection risks.
Ground Support Equipment Metrics
GSE usage metrics include equipment availability, idle time vs. active time, and driver behavior. Telemetry can monitor each GSE unit’s location, status (running vs. idle), speed, and fuel usage/remaining charge. Examining this data may reveal inefficiencies and safety risks (GSE is responsible for 40% of apron incidents).
Ground Handling Safety Metrics
Metrics here include the number of ramp incidents or accidents, the severity of incidents, the rate of incidents per flight hour, safety infractions, aircraft ground damage, GSE equipment damage events, and loading errors. Looking at trends here helps operators troubleshoot the reasons for such occurrences; the first step toward resolution and compliance.
Weight and Balance Metrics
Load management software reports on weight and balance metrics, which is helpful during the loading process itself and for demonstrating compliance later on.
Workforce Management Metrics
Analyzing staffing data reveals how well ground staff are allocated. Reports may highlight if a team is overstaffed (with idle agents) or understaffed; operators can then ensure the right number of people are in the right place at the right time.
Fuel Usage and Efficiency
Fuel metrics can refer to two aspects: the efficiency of fueling aircraft and the fuel consumption of GSE.
Detailed reporting can highlight inefficiencies such as extended fueling durations or frequent deviations from scheduled fueling windows. Managers can use this data to identify root causes-such as staffing shortages, equipment reliability issues, or procedural bottlenecks.
Monitoring GSE fuel consumption provides opportunities for improvements in sustainability and operational efficiency, as excessive fuel use may indicate sub-optimal routing, idling, or maintenance needs.
SLA Adherence
With detailed reporting, managers can drill down into each SLA miss, discover the cause, and take corrective action.
The Power of Integrating Aviation Software Solutions and Data Sources
Our aviation management software has built-in reporting tools and can connect with third party systems – because operational data shouldn’t be confined to each single platform. When data is shared across the ecosystem, collaborative decision making is possible.
Let’s consider some important integrations that make aviation more efficient.
Airport Operational Databases
One critical integration is with the Airport Operational Database (AODB), which stores information on flight schedules, gates, aviation maintenance, and much more. It’s the central store of operational information.
When reporting tools for ground handling are connected to the AODB, they can compare actual progress against the required timeline. They gain access to live flight information (i.e., an aircraft’s scheduled arrival/departure, delays, gate changes) and can also write back updates about turnaround progress.
Flight Information Display Systems
Integration with Flight Information Display Systems (FIDS) – the screens showing flight statuses to passengers and staff – is also valuable.
For example, if a turnaround delay will make a flight depart 15 minutes late, that revised time can be automatically reflected on the FIDS, improving the passenger experience. And if an inbound flight’s arrival is delayed, the ground team is instantly aware through the integrated dashboard, so they might reschedule their resources for that new arrival time.
Baggage Reconciliation Software
Sharing data from baggage handling systems makes the job easier for ramp teams, as they’re made aware exactly when baggage loading is done – without having to communicate via radio. (Effective reporting also makes it easier to demonstrate compliance with IATA resolution 753.)
Airline Systems
An airline’s own operational control system contains data about crews, maintenance tracking, passenger check in and connection details, etc.
How can such integrations help? Up-to-date maintenance status or crew changes can be factored into operational planning with ease. Or, if a connecting flight is delayed, the system can alert ground teams and operations controllers, who may then adjust the turnaround process or delay pushback to accommodate connecting passengers.
Sharing ground handling data back to the airline in real time also improves the airline’s decision-making processes.
Data Inputs from Advanced Technologies
The latest technologies generate data where digital inputs didn’t exist before. For example, some airports use IoT sensors and computer vision to automatically detect events such as a cargo door being closed, or all chocks being removed from wheels. This creates automated timestamps, and turnaround status is then automatically updated.
Conclusion
In summary, ground handling and airport operations teams can use advanced reporting tools to better handle real-time issues, and to refine their processes through insights based on historical data.
Today, any aviation software solutions should have their own reporting tools. And they should easily integrate with external platforms for a broader operational view. Because the more integrated the data, the more powerful the insights.
Zafire provides best-in-class aviation solutions for turnaround management, baggage handling, load management and more. To learn more or request a demo, contact us today.
