Case Study

Zeppelin Takes Predictive Maintenance to New Heights With Splunk

Zeppelin Takes Predictive Maintenance to New Heights With Splunk

Pages 2 Pages

Zeppelin, a German manufacturing leader, implemented Splunk Enterprise, MLTK, and DB Connect to reduce downtime and enable predictive maintenance across its rental equipment business. By analyzing IoT sensor data, Zeppelin gained real-time and historical insights, improved resource allocation, and increased equipment uptime. The machine learning toolkit enabled proactive detection of spark plug failures, preventing costly shutdowns. Splunk streamlined IT operations, enhanced monitoring, and empowered the team to deliver faster, data-driven solutions, boosting customer satisfaction and operational efficiency.

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