Case Study: FLIR Systems achieves 50% per-unit cost reduction and 30% less downtime with Statistica

A Statistica Case Study

Preview of the FLIR Systems Case Study

FLIR Systems Inc. - Customer Case Study

FLIR Systems, a U.S. high‑tech company that designs and manufactures infrared and explosive threat‑detection equipment, needed to analyze large volumes of streaming manufacturing and supplier data to improve detection accuracy, reduce variability and cut costly production downtimes. Monitoring incoming parts and translating disparate data streams into actionable insights were creating long delays and risked costly product failures.

By deploying Statistica’s advanced analytics to automate data ingestion, predefined analyses and alerts, FLIR can now detect anomalies earlier, accelerate R&D experiments and monitor supplier components in real time. The solution reduced production downtime by about 30%, cut per‑unit costs by 50%, lowered product revenue losses by roughly 30%, and significantly improved product quality and process efficiency.


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FLIR Systems

Corwin Maxson

Manufacturing Quality Engineer


Statistica

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