The challenge
The airline’s traditional structured data warehouse, used for reporting and analysis, was unable to
handle the volume, variety or velocity of the data sources necessary to enable the business to make
well-informed decisions.
The company was looking to improve its understanding of its customers, however the most
valuable data sources, high-volume web traffic data, were not accessible through its existing data
infrastructure. This meant that Jetstar did not have the insights to provide optimal personalization and
travel recommendations to its customers.
The solution
Contino, a Cognizant company, helped design and build a highly scalable and resilient advanced
data analytics platform on AWS. This included modular components that can be reused for other
business areas, reducing cost and time to get insights for additional use cases.
Multiple business areas have now moved onto a modern data lake architecture on the AWS cloud.
Amazon Redshift and Elastic MapReduce (EMR) fuel data analysis and near real-time reporting,
moving away from batch nightly reporting wherever possible.
Our team developed and implemented a machine learning plan to leverage data to better inform
future business decisions. We also helped upskill client teams for future development and operations.
Customer success story
Jetstar’s move to a fully enabled
AWS data insights platform
Modern data architecture enables Australian airline to predict and act
on optimal travel experiences for customers.
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More valuable insights, reporting and business outcomes
Jetstar is now able to use multiple data sources for advanced analytics and reporting, including high
velocity data, to provide insights and predictions to support business decisions. The new AWS platform
and analytics is now being used by digital and marketing teams to shape campaigns to target
individual customers with relevant content to improve response and conversion rates.
Due to the success of the first stage of this project, additional business units and departments are
exploring multiple use cases for the new platform to gain better insights from its data and inform the
decision-making process.
Vast data sets can now easily be analyzed
Improved UX with relevant content and destination recommendations
Higher conversion rates with highly personalized engagement
Greater insights and processes
