Plot a course to reduce costs

Fraport uses SAS® Visual Analytics to make real-time operational decisions

Frankfurt Airport in Germany flies more than 57 million passengers and 2 million metric tons of freight to 113 countries each year – making it Europe's third-busiest airport, behind only London Heathrow and Paris-Charles de Gaulle. It's up to transport company Fraport AG to make sure that airport operations can handle so much traffic.

In addition to the extra speed, we're also looking forward to new opportunities for data exploration and visualization with SAS Visual Analytics.

Dieter Steinmann
Manager of Information and Communication Services for Business Systems

Using SAS® High-Performance Analytics and SAS Visual Analytics, Fraport is reducing the cost of operations and boosting the performance of decision-support processes.

"We need to analyze massive quantities of data in real time," explains Dieter Steinmann, Fraport's Senior Manager of Information and Communication Services. "High-performance analytics is the perfect solution for us. In addition to the extra speed, we're also looking forward to new opportunities for data exploration and visualization with SAS Visual Analytics."

Migrating from the tried and tested SAS Business Analytics platform to SAS High-Performance Analytics, Fraport sets a course toward the most advanced approach to data analysis. Fraport also opted for SAS Visual Analytics, which allows users to analyze data quickly and intuitively using a graphical interface.

Fraport implemented SAS Visual Analytics on a Pivotal DCA (formerly EMC Greenplum DCA),  which was optimized with SAS for big data analytics.

"With its decision in favor of big data analytics, Fraport AG is creating a huge competitive advantage for itself. We are very pleased that, together with SAS, we can provide the technology basis for this," declares Sabine Bendiek, CEO of EMC Germany.


Fraport required a solution to reduce operation costs and improve analysis of big data.



The airport saves both time and costs by analyzing data efficiently.

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