Description
TrendMiner is an advanced industrial AI and analytics platform tailored for process manufacturing industries. It empowers operational specialists to analyze, monitor, and predict production performance using sensor-generated time-series data. The platform is designed to democratize data and analytics, making it accessible to everyone in industrial operations.
Read More
TrendMiner offers a range of features, including time-series analytics, event analytics, machine learning, and visualization tools. Users can explore data effortlessly through a user-friendly interface, enabling them to generate insights and drive data-driven decisions. The platform also supports reporting and collaboration, allowing teams to share insights and create personalized dashboards.
The platform is highly customizable, with options for on-premise, private cloud, SaaS, or hybrid deployment. It integrates with various data sources and analytics systems, including OSIsoft PI, Wonderware, and SAP. TrendMiner's enhanced data layer connects operational data, sensors, and enterprise applications, providing a comprehensive view of data.
TrendMiner is trusted by leading companies in industries such as manufacturing, chemical, pharmaceutical, and energy. It helps optimize manufacturing and production processes by identifying opportunities for improvement and predicting future performance. The platform's advanced algorithms and pattern recognition techniques enable users to quickly identify and diagnose issues, reducing downtime and improving efficiency.
With a focus on empowering operational experts, TrendMiner offers onboarding services, training classes, and support resources to ensure successful adoption. The platform is updated regularly with new features and capabilities, ensuring it remains at the forefront of industrial analytics technology.
- CategoryAI Data Analysis
- Pricing ModelCustom
- DeploymentOn-Premise, Private Cloud, SaaS, Hybrid
- PlatformsCloud, On-Premise
TrendMiner's Core Features
Self-service analytics for time-series and event data
24/7 monitoring and instant alerts
Advanced search and filter capabilities
Predictive analytics and forecasting
Root cause analysis
Integrations with various data sources
Customizable dashboards
Machine learning and pattern recognition
How to use TrendMiner?
Configure: Set up data sources and integrations
Use: Analyze time-series and event data
Optimize: Create custom dashboards and reports
Monitor: Set alerts for critical events
TrendMiner's Use Cases
- Production Optimization
- Predictive Maintenance
- Quality Control
- Energy Management
- Process Improvement
