Exploiting big data value with Qlik Sense
Company Size
1,000+
Country
- Worldwide
Product
- Qlik Sense
Tech Stack
- SaaS
- Data Visualization
- Self-service BI
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Aerospace
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Amadeus is a leading provider of SaaS solutions for the airline industry. The company operates on a global scale, serving customers worldwide. Their services are integral to the operations of many airlines, providing essential software and data solutions. Amadeus' applications generate large volumes of data, which the company sought to leverage for improved insights and decision-making. The company's goal was to find a solution that could reconcile and analyze this data, producing valuable KPIs that could drive their business forward.
The Challenge
Amadeus, a leader in SaaS solutions for the airline industry, generates large volumes of data across its various applications. The company faced the challenge of reconciling and analyzing all of this data to produce attractive KPIs. They needed a solution that could handle the large data volumes and provide valuable insights for their operations.
The Solution
Amadeus integrated several Qlik Sense apps into their offer. These included Market Insights for the analysis of booking, traffic, and schedules, allowing customers to benchmark their performance. They also included Performance Insights for sales analysis, Revenue Management, and Marketing, enabling customers to analyze their own data. This solution provided Amadeus with the ability to handle large data volumes and offer self-service BI to their users. The dynamic analysis and data visualization capabilities of Qlik Sense also contributed to increased efficiency and responsiveness.
Operational Impact
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