Enabling world class airport services through social data analytics
Malaysia Airports Holdings Berhad’s (MAHB) use of Big Data Analytics (BDA) enabled the world-class company to be proactive and responsive toward all public and passenger feedback – a critical factor with some 80 million people passing through their airports yearly.
Malaysia Airports develops data insights to optimize customer satisfaction
Airport operator company, Malaysia Airports, with interests in Turkey, India, and South Asia, is working with Fusionex on a proof-of-concept: to develop a Business Intelligence platform to further enhance Malaysia Airports’ retailer management system within KLIA and provide value-added services for travelers.
Industrial internet creates the world’s most efficient airline
AirAsia’s unique no-frills business concept is an innovation that has changed the airline business forever and now this trailblazing group is harnessing cutting edge data capture and analytics technology to ensure that its low fares and market leadership for the budget sector are maintained for its customers.
How Etihad Airways Uses Big Data To Reach Its Destination
Etihad Airways is the flag carrier of the United Arab Emirates and it was founded just 10 years ago, in 2003. Based in Abu Dhabi, the United Arab carrier flies to 89 destinations over the world, operating over 1200 flights per week with 73 airplanes to more than 55 countries carrying 10 million passengers annually around the world. Their goal is to be a truly 21st century, global airline, challenging and changing the established conventions of airline hospitality. In order to achieve this, they turned to big data.
Transforming Into A Smart Airport with IoT
The leading metropolitan city in East Asia with over 3 million citizens wanted to adopt smart airport to become a critical hub for air traffic. It started with updating its data infrastructure and making better use of internet of things (IoT) using streaming integration and analytics capabilities offered by Striim.
Striim integrates sensor data and performs IoT analytics in real time. The Striim application looks at activity on wi-fi hotspots to see the concentration of passengers, as well as agents and workers. If an area—for example, the passport checkpoint— is too crowded, it automatically triggers workflows to provision more agents. Striim’s application allows this smart airport to improve the experience of travelers with minimum pass-through time, and enables the airport to accommodate more passengers resulting in higher retail store revenue.
Detects understaffed areas immediately and dispatches staff automatically.
Enables fast and smooth pass-through for improved traveler experience.
Maximizes revenue by accommodating larger number of passengers.
Not really a case study, but it is surely a case for study
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