Guess which airport has won the most awards in the annual Skytrax list? Guess which airport won 480 awards since its opening in 1981? Guess how this airport did it?
Data Analytics gives the competive edge.
Serving and servicing more than 65 million passengers and travellers in 2018, and growing, Changi Airport Singapore sets a very high level customer service. And it does it with the help of technology, something they call Smart (Service Management through Analytics and Resource Transformation) Airport. In an ultra competitive and cut-throat airline business, the deep integration of customer-centric services and the ultimate traveller’s experience are crucial to the survival and growth of airlines. And it has definitely helped Singapore Airlines to be the world’s best airlines in 2018, its 4th win.
To achieve that, Changi Airport relies on technology and lots of relevant data for deep insights on how to serve its customers better. The details are well described in this old news article.
Keep More Relevant Data for Greater Insights
When I mean more data, I do not mean every single piece of data. Data has to be relevant to be useful.
How do we get more insights? How can we teach systems to learn? How to we develop artificial intelligence systems? By having more relevant data feeding into data analytics systems, machine learning and such.
As such, a simple framework for building from the data ingestion, to data repositories to outcomes such as artificial intelligence, predictive and recommendations systems, automation and new data insights isn’t difficult to understand. The diagram below is a high level overview of what I work with most of the time. Continue reading
