Process experts used TrendMiner to identify correlations between the ambient temperature and the power output of the cooler.
Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
This plant lost 25% of the particles that dropped through its prill tower until engineers discovered while using TrendMiner that cooler temperatures made a better product.
Within four hours of using TrendMiner, chemical engineers learned why a batch reactor produced some batches at a lower quality than others.
Learn how TrendMiner helped engineers identify a bottleneck that was preventing consecutive grade production and created a 16% efficiency gain.
