Discover Bayer’s digital transformation with TrendMiner, leveraging advanced data analytics for unmatched productivity and innovation.
Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
Discover the software, get technical information on all its key features, as well as practical examples of how these capabilities can help you every day.
A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.
Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.
This chemical company used TrendMiner to find a hidden relationship between organic acids and wastewater quality after a certain time frame.
When an oil company needed to figure out the flow rate from a well, it used TrendMiner monitoring to keep the wells operational and prevent sudden shutdowns.
Engineers used TrendMiner to find the root cause of waste gas emission spikes quickly, which improved safety and helped the company achieve net-zero operations.
When a plant suffered from coking problems and shutdowns as its product cooled, engineers used TrendMiner to determine how to keep the factory operational.
Blog Posts
Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19- Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
- TrendMiner’s 2024.R2 Release; A Complete Platform to Facilitate Event Analytics and Operationalize Industrial Data8 August 2024 - 16:38
