Qlik Case Studies The Journey towards BI Excellence
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The Journey towards BI Excellence

Qlik
Analytics & Modeling - Real Time Analytics
Transportation
Logistics & Transportation
Fleet Management
Predictive Maintenance
Data Science Services
As the UK’s largest scheduled coach operator and urban bus provider outside of London, National Express faced several challenges related to business intelligence (BI) and data analytics. The company had to deal with manual reporting from various data siloes, which provided limited insights due to reports showing only one aspect of company performance. The reports also had limited flexibility and analytical capabilities, leading to a high 'event-to-action' latency. To overcome these challenges, the company decided to deliver BI as a service.
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National Express is the UK’s largest scheduled coach operator and urban bus provider outside of London. The company operates a vast network of coaches and buses, serving millions of passengers each year. National Express is committed to providing high-quality transportation services and continuously seeks to improve its operations and customer satisfaction. To achieve this, the company relies heavily on data and analytics to optimise its performance and understand customer needs.
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Data Technology partnered with National Express to implement a BI and data analytics platform. The company deployed QlikView into the UK Coach division in 2013 and added QlikView Extranet in 2016 to support UK Coach partner operators. The success of the platform led to the creation of a UK BI Centre of Excellence. As a result, Qlik Sense was deployed in the UK Bus division in 2018. In 2019, the UK Coach division migrated onto Qlik Sense, providing a common set of tools and technologies deployed across all UK divisions and partners.
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National Express achieved a true self-service approach with analytics at the user level.
The company was able to monitor operational performance and standards for approximately 45 external partner operators.
The BI platform enabled network optimization by understanding passenger movements.
Revenue growth from understanding product performance.
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