Airports business has assumed gigantic dimensions over the last couple of decades or so. Changes in legislation and investment policies allowed private ownership in airports and consequent entrepreneurial spirit. At the same time technology took giant strides to be able to meet the business needs of airports. But how does Airport Analytics (AA+) come into the picture? ! Well, read on to find how!

Talking of business needs of airports, increasing passenger volumes is a fundamental trend. Airports need to adjust their operations to accommodate higher passenger numbers, increased air traffic and commercial services. This burgeoning demand at airports means need for growth in infrastructure and staffing while ensuring productivity and service quality levels. And of course all this with an eye on the bottom-line!

Increasing passenger volumes and air traffic also means increasing data. This data can be analyzed using BI tools and techniques to give insights enabling decision support for all what, why, when & where questions for the business! Analyses include historical data analysis, what-if scenario analysis as well as predictive analytics. A proper analytics engine factors cross-linking between various departments at an airport to ensure that the management has sufficient information on operations, finance, commercial, infrastructure, HR etc. to take accurate and timely decisions.

One Stop Shop: Airport Analytics (AA+) Solution

GrayMatter’s Airport Analytics (AA+) solution is a comprehensive analytics tool for airports business. It doesn’t matter what existing systems you have, Airport Analytics (AA+) is equipped with pre-defined connectors to 80+ systems that guarantee fast and accurate insights. Contextual to mention that deployment time for Airport Analytics (AA+) is around 1/3rd of the time needed for any other traditional BI tools.

Let’s walk through a couple of scenarios. Passengers are the end customers and so passenger experience is a key consideration. On-time performance (OTP), for instance, is a critical parameter determining passenger experience. OTP is one of the 400+ pre-defined KPI’s in Airport Analytics (AA+), with ability to immediately indicate the reason for any variance, which could be late passengers, catering, ground handling etc. Non-aero revenues is another critical factor which also reflects the extent of customer engagement at the airport. Airport Analytics (AA+) allows store by store analysis based on key KPIs and provides insights to maximize non-aero revenues. Talking of car parks, Airport Analytics (AA+) provides analytics on utilization even at an hourly level. Hourly reporting reminds me of time dimension and also brings me to a key feature of Airport Analytics (AA+). Airport Analytics (AA+) always provides reports and analytics with respect to or compared to time period(s) which could be weekly, monthly, quarterly, yearly or even daily and hourly!

Airport Analytics