Through daily operations, airports are producing vast amounts of data. However, for many airports the use of data remains an untapped potential. COVID-19 and its severe effect on aviation has highlighted a need for airports to be more agile when planning operations.
Copenhagen, Denmark - Optimized utilization of existing data will become the foundation of COVID-19 recovery. Airports will need to adopt a data-driven approach to operations ensuring compliance with guidelines and the need for physical distancing, while simultaneously adapting to an evolving demand of the use of infrastructure.
An opportunity driven mindset during crisis
The first step towards becoming a more data-driven organization is to realize the potential of available data, more so than considering the lack of data as a challenge. Even the very best airports in the world do not have full data coverage. Airports that are successful work with what they have, understand what they need, and how they can improve for the future.
Industry knowledge, benchmark data, alternative data sources, and the like can produce planning, analytics, and improvement initiatives that significantly improve and prepare operations for COVID-19 recovery.
Airports should still strive to improve the collection and quality of data, however, this process is only reinforced by gaining knowledge and experience by working with what is presently available.
Airport data: There is more than enough to begin
To demonstrate the variety of data sources available, let us consider planning for physical distancing at check-in. To do so, we need to understand:
If we focus on the first point, there are numerous ways of establishing when passengers arrive at a check-in area:
If all of the above data sources are available, they provide the opportunity to cross-validate as shown in the example below. Data validation is a topic on its own, but the importance must not be underestimated.
Add to this the flight schedule, a qualified assumption on load factors, transaction times at check-in, the required distance between passengers, and the size of queue areas. All this information will enable an airport to run scenarios on how many check-in counters an airline will need in the COVID-19 recovery phase, what queue space is required, as well as allowing the airport to dispatch staff to potentially challenging areas as forecasted by the analysis.
Will the first analysis be spot on? Probably not. But it will be a lot better than no analysis, and airports can continuously adjust their input parameters based on how they matches operational reality. More importantly, it will give the airport something to work with, a tool to communicate to key stakeholders, and provides the foundation for evolving airport data analytics.
Recovery after COVID-19: One step at a time
As stated above, using analysis and scenario planning as a means to handle COVID-19 is an opportunity to showcase the power of data and analytics at airports, while also supporting changing legacy processes. It will not be possible to obtain complete data coverage on all affected areas during the crisis. Still, it is possible to deliver tangible results, initiatives, and recommendations to support your airport operation by using already existing data.
The same applies to data. Recommendations include:
Unleash data and create immediate value
There are several challenges on the journey towards data excellence and operational optimization. Data is often collected for ad-hoc purposes with no enterprise data strategy to ensure effective and planned collection and storage of data. Data warehouses are in process but far from complete, making a central point of data collection and utilization inaccessible. This makes information sharing difficult with the risk of reinforcing organizational silos. Lastly, a critical challenge to achieve data driven decision making, is to ensure that all data is validated before using it as the foundation for operational decisions.
Despite these challenges, the data coverage of any airport will be sufficient to get started. On average, 40-60% data coverage is adequate to create value. Gaps can be covered using benchmarks, until the organization evolve, and data coverage and quality improve.
The only way to achieve data excellence is through experience and curiosity but too often, analytics and operationalization of data are postponed due to a perceived lack of data coverage. Instead of holding back, doubting if data coverage is sufficient, start by using what is available and build on that. This is how the journey towards unleashing data and creating value for both airport and passengers begins.
Are you looking to leverage your data to create immediate value?
CONTACT
Rasmus Kaster
Copenhagen Optimization
Esplanaden 8A,1263 Copenhagen K, Denmark
Email: kaster@copopt.com
Then get in touch. Contact Director of Consultancy Rasmus Kaster on kaster@copopt.com