Asset Health & Condition Monitoring
Standardize the collection, integration, modeling, and analysis of disparate data into a single, unified view.
Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software.
Download DatasheetTrendMiner is an intuitive web-based industrial process analytics application to perform visualization of large amounts of sensor-generated time-series and contextualized data. The solution enables process optimization through its enhanced functionality for process monitoring, troubleshooting, and embedded problem-solving capabilities.
GE Digital has partnered with TrendMiner, a Software AG Company, incorporating process analytics with its Asset Performance Management (APM) portfolio. This strategic partnership provides customers in industries like oil and gas, metals, mining, and petrochemicals the ability to optimize assets and processes from plant-level operations through to the enterprise.
This self-service model automatically meets the high demands of time-series industrial process analytics. Process engineers receive highly visualized data in trend views, root causes, and performance monitoring in real-time.
Break down contextualized data silos residing in various business applications to shed new light on your production’s processes and enable a proactive approach to process improvements.
Empower subject matter experts to make impactful production decisions and contribute to overall enterprise performance objectives. Self-service analytics allow engineers and operators to dive into improvements on overall equipment effectiveness, waste reduction, consistent production quality, carbon reduction, and the operational safety of your team.
Analyze, monitor, predict using time-series analysis
Contextualized Data
Visualization using Dashboards
Machine Learning (ML)
Contact us to learn more about how process analytics can help you search for trends with ease and analyze process data directly to avoid production loss and boost overall production performance.
Standardize the collection, integration, modeling, and analysis of disparate data into a single, unified view.
Instantly diagnose equipment performance using data visualization, benchmarking analytics to prioritize reliability efforts and reduce maintenance costs.
Achieve less unplanned downtime by predicting equipment issues before they occur.