Case Study: Gendarmerie Nationale achieves real-time predictive policing and resource optimization with SAP HANA

A SAP HANA Case Study

Preview of the Gendarmerie Nationale Case Study

Processing Data Quickly for Effective Action with SAP HANA

The Gendarmerie Nationale, France’s national police force with around 100,000 personnel, faced the challenge of turning vast, fast-moving data—including high-volume Parisian social media and disparate databases—into timely intelligence to detect threats, predict crime hot spots, and optimize a mobile force of more than 90,000 members and vehicles.

By deploying SAP HANA with SAP Predictive Analytics and SAP BusinessObjects, the GN unified structured and unstructured data and enabled real-time, predictive analysis for patrol selection, burglary forecasting, and vehicle allocation. The platform supports tens of thousands of users, cut report times from hours to seconds, saved roughly 1,000 hours per month, reduced costs, improved resource optimization and decision-making in the field, and maintained legal and privacy compliance.


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Gendarmerie Nationale

Colonel Vincent Bertran

Chef de Bureau


SAP HANA

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