Use Case: Optimize Operating Conditions for Heat Exchanger
Use Case: Prevention of Unwanted Flare Spikes

When a faulty valve caused unwanted flare spikes and environmental concerns, engineers used TrendMiner to find the root of the problem.

Process experts used TrendMiner’s monitoring system to compare batches and learn optimal parameters for pH, moisture, and percent of unsulfated matter.

When engineers found deviations in quality, they used TrendMiner to compare batches. With this insight, they realized the melting cycle was ending too early.

Use case: Stabilize operations to increase production

Engineers figured out they could cut their steam consumption by 165 tons per day, and learned using TrendMiner they also could produce 50 tons more ammonia.

Use CAse: Reduce Energy Consumption

This reverse osmosis company violated government energy usage regulations each month until TrendMiner revealed how pump and skid timing could keep it compliant.


The purpose of this white paper is to demonstrate how TrendMiner can help accomplish these goals. By the end of the paper, water and wastewater experts will see how the advanced self-service data analytics platform empowers engineers and manufacturing process experts to resolve challenges without the help of a data scientist.


In this webinar, TrendMiner Data Analytics Engineer Eduardo Hernandez discusses how to easily analyze process performance and find root causes fast, monitor performance to get early warnings and predict what is likely to happen, capture events and create your own production cockpit for operational storytelling, as well as best practices to become a data-driven factory and quickly gain value.

5 Levels of PI Integration with Self-Service Analytics

Watch this webinar on demand and discover how the data captured in your PI System can be leveraged for day-to-day, data-driven decision making when it’s combined with self-service analytics capabilities.

Learn how Huntsman used TrendMiner self-service analytics in its digitalization evolution and production optimization.