All customers
Industry
Energy & Environment
Use Case
Eggersmann Gruppe uses Tiger Data to monitor and analyze sensor data from their recycling machines and plants, helping them optimize performance, reduce inefficiencies, and enhance waste sorting processes.
Impact
Improved data management Enhanced query performance Reduced storage costs via data compression Real-time monitoring and anomaly detection Scalable system for future plant integration
Website
https://www.eggersmann-group.com/
“We have a compression ratio of 93%. That is incredible, and we’re very happy.”
Dr. Sebastian Felder, Head of Data Science & Engineering
Eggersmann Gruppe is a global leader in recycling technology and plant construction, specializing in creating innovative recycling machinery and comprehensive systems for waste treatment. The company is building digital solutions powered by Tiger Data to monitor recycling plants, analyze machine performance, and improve operational efficiency through data-driven insights.
As recycling plants grow in size and complexity, Eggersmann faced the challenge of managing and analyzing vast amounts of sensor data generated by hundreds of machines and conveyors. They needed a reliable, scalable solution for monitoring machine performance and optimizing processes while reducing operational inefficiencies in real-time.
By integrating Tiger Data, Eggersmann was able to store and analyze time-series data efficiently, unlocking high compression rates (93% on raw sensor data) and providing real-time monitoring through dashboards. This improved operational insights, enabled predictive maintenance, and facilitated data-driven decision-making, ultimately increasing plant efficiency and reducing costs.
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