Case in point.

A machine would frequently break when pushing additional throughput – resulting in $1M/month loss. EFT Analytics found a weekly anomaly causing significant breaks saving the facility $12M in wasted production.

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By starting with 700 data points hourly, EFT identified why this facility’s production significantly dropped over four years. The model EFT created is providing a better solution for the site while also providing the conditions needed to increase overall production.

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Previous pre-flaring event notification time for a facility was just five minutes. Using existing sensor data, EFT helped deliver 40+ minute notification time and assisted in increasing overall profit while reducing environmental impact for the facility.

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A facility was experiencing multiple power boiler plugging incidents annually, costing them $18M per event. EFT identified and provided a model that gave them days to weeks advanced notice – allowing them to shut down without incident.

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