Passenger data analytics forging the way forward for the aviation industry

Airports have the task of bringing in more passengers into their terminals while meeting several challenges like terminal congestion, rising passenger costs and difficulty in funding infrastructure to accommodate crowds. These factors are a simple recipe for deficient facilities, poor service and unhappy passengers.

Compounding the issue is the regressive effect of the pandemic. Aviation is undoubtedly one of the industries hit hardest by the pandemic. More than 40 major airlines have grounded their fleets while other airline carriers have suspended over 90% of their flights. International flights have been restricted due to border and entry restrictions. So we see a serious decline in passengers passing through airports, which cuts deeply into revenue and productive efficiency.

Now more than ever, passenger data analytics is urgently needed. Below are a few ways that this strand of analytics is revolutionising the traditional approach towards the passenger experience.

Airports are taking action by making use of passenger data analytics with highly encouraging results. Passenger data analytics offers new tools and processes to help airports make more effective decisions that improve airport performance, make better use of terminals, generate revenue and enhance the passenger experience from curb to gate.

On average, a 6-hour flight generates over 240TB of data, providing a rich body of information to work with. If this data is efficiently inspected and analysed, it will go a long way in streamlining passenger activity and improving safety, a huge boon considering recent events.

Predictive analytics is revolutionising the game

Investing in technologies to improve the rate of passenger processing is especially useful, considering the immense pressure stakeholders are putting on international airport terminals to improve processing rates.

Besides, storing and analysing the collected data in batches is a difficult, time-consuming task that could be made much simpler with sequential analysis. Passenger data analytics presents a method for airport managers to discover which variables provide a better understanding of passenger processing times and identify problematic passenger profiles without the hassle.

Airlines require the development of passenger data analytics as it is an effective and holistic forecasting model to regularly assess the impact of operations, like increasing aircraft available seats, adjusting fares and introducing new routes. Forecasts and predictive analytics also take account of actual statistical trends and results borne from the constant influx of data collected. The ability to capture detailed passenger information is beginning to change the way airport managers think, react and plan, essentially revolutionising the industry.

Sensor technologies to streamline passenger flows

Sensor technologies can systematically track passenger movement within an airport, and the data can be linked to a range of other information sources such as airline passenger data, schedules and points of sale. The combined data is fed into a centralised information database, accessible by airport management. This data can be accessed and then utilised to optimise space and flow.

Controlling passenger terminal flow patterns can vary significantly based on season and location in the airport. Of course, this congestion, confusion and delay can contribute negatively to the overall passenger experience, so solutions that could optimise traffic flow will be useful.

A new solution passenger analytics and information-based management—is emerging as a promising tool to help airport managers face these challenges. It is a solution that makes use of cost-effective sensor technologies to optimise the space airports already have and make more informed, strategic decisions. This analytics platform is used when mapping outflows, placements and structures of the whole airport to ensure an optimal experience and efficiency.

Forging the way forward with passenger data analytics

Passenger analytics changes this dynamic through a combination of sensor tracking technology, predictive modelling and new management practices. The innovative combination of information, planning and coordination can fundamentally change how today’s airports are managed.

Real-time access to passenger data analytics in the 21st-century is what powers organisations to form a strategy that will help them navigate the ongoing pandemic that has cut down the passenger count. With analytics producing informed decisions, airports can appropriately price tickets, arrange optimal seating according to protocol and hygiene measures to ensure there is some sort of revenue streaming in during these abysmal times.

Investing in data analytics installation and administration

Passenger data analytics will play a critical role in coping with the challenges airline carriers face in the future. With airline carriers constantly collecting data, they can continue making informed decisions as they adapt and grow in the post-pandemic climate by leveraging passenger data analytics to stay above ground.

Visit our website for more information on how your industry can leverage passenger data analytics to supercharge your bottom line.

Aviation analytics to energise the airline industry

With the pandemic shaking the very core of air travel, the aviation industry has to adapt or go belly-up in this volatile climate. The situation the industry faces is not favourable, and new approaches need to be adopted to address mounting health and security concerns.

Given current circumstances, we see big names in the industry scramble to leverage modern aviation analytics to gauge how they can make the best decisions to move forward amidst this minefield that is the pandemic.

Aviation is undoubtedly one of the industries hit hardest by the pandemic. More than 40 major airlines have grounded their fleets while other airline carriers have suspended over 90% of their flights. International flights have been restricted due to border and entry restrictions around the world. If we rewind to just six months ago, airlines were competing for traffic aggressively. But now, airlines are fighting for survival, thanks to recent events.

Real-time access to aviation analytics in the 21st-century is what powers organisations to form a strategy to help them navigate this crisis. With that in mind, read on to find out the various ways aviation analytics can save the air travel industry from the dark ages.

Cutting costs with fuel efficiency and optimal staff management

To cope with the abysmal conditions, airlines around the world have to reduce the size of their staff roster and ground fleets to reduce costs. With revenue and ticket sales being a fraction of what would be expected in a normal market, there are still other major costs to consider, such as maintenance, technology and even marketing.

At this critical juncture, the airline industry needs to capitalise on any revenue-making avenue they have. The overriding issue with this is that most airlines make the vast majority of their profits from international flights, with many domestic routes making losses (especially if the flight flies at 75% capacity), so this does not spark any strong faith in the future.

But lo and behold, aviation analytics has progressed leaps and bounds. Efficient real-time data analytics produces actionable intelligence when curating data on flight schedules, fuel loads and tickets sales, all while searching for patterns that reveal the most profitable options. Each minuscule change in metrics could translate to larger profit margins or avoid bankruptcy during the pandemic.

Improving safety and hygiene procedures with aviation analytics

A technological revolution in the aviation industry was already in motion before the pandemic. However, the medical and material demands of COVID-19 have accelerated the rate of adoption to make air travel safer.

On the ground and in the air, robot cleaners, new PPE uniforms for flight attendants and mandatory medical screenings could become standard aspects of future air travel. We even hear whispers of processes being digitalised to utilise facial recognition and cutting out any contact to avoid the spread of the virus. Aviation analytics is no exception because the insights can be used to inform flight safety.

For example, a single flight generates a lot of data every hour – on average, a 6-hour flight from one country to another produces about 240 terabytes of data from the plane. If this data is efficiently inspected and analysed, it will go a long way in improving flight safety, in light of the recent pandemic.

Aviation analytics software will enable regulators to identify the biggest safety risks and determine whether industry stakeholders are taking the right actions to mitigate them. By combing through terabytes of data, they will be able to locate weak links in the aviation chain and dole out insightful improvements to ensure that the safety of their passengers is a top priority.

Moving forward

Aviation analytics and its revered analysts predict that it could take 3 to 5 years for the market to return to 2019 levels. This year will likely be the worst in modern history for aviation, and a bounce back will be long and arduous. However, if there is one industry that can adapt to shocks, it is aviation.

Aviation analytics will play a critical role in coping with the challenges airline carriers face in the future. With airline carriers constantly collecting data, they can continue making informed decisions as they adapt and grow in the post-pandemic climate by leveraging aviation analytics.

Visit our website and stay up-to-date on how aviation analytics could save the failing industry.