TrendMiner is an advanced industrial analytics platform that empowers operational experts to analyze time-series and contextual data from production systems. It enables users to visualize, search, and correlate years of process data, identify patterns, and optimize operations without deep data science expertise. The platform supports self-service analytics, real-time monitoring, and predictive maintenance, and is available as SaaS, on-premises, or private cloud for flexible deployment.

Key Features

Self-Service Analytics Empowers users to analyze data without needing data science skills.

• Search and visualize time-series data
• Identify and correlate patterns or anomalies

Real-Time Monitoring & Alerts Enables proactive process monitoring and issue detection.

• 24/7 monitoring of assets and processes
• Automated alerts via email, notification centers, or third-party apps

Root Cause Analysis Accelerates troubleshooting and process optimization.

• Rapid identification of operational issues
• Visual comparison of time periods and events

Collaboration & Sharing Facilitates teamwork and cross-site knowledge sharing.

• Share dashboards, reports, and findings across teams and sites
• Manage access and collaborative editing

Integration & Data Enrichment Connects with multiple data sources and enhances datasets.

• Plug-and-play integration with major historians and databases
• Add calculated features, classifications, and metadata for deeper insights

Python Environment & Machine Learning Advanced analytics and customization for expert users.

• Prepare, cleanse, and enhance data using Python dataframes
• Build and deploy custom calculations and machine learning models

Benefits

Operational Efficiency Improves plant performance and reduces downtime.

• Enables faster, data-driven decision-making
• Proactive detection and resolution of process issues

Scalability & Flexibility Supports growth and adapts to various industrial environments.

• Deployable as SaaS, on-premises, or private cloud
• Easily replicates analytics and reports across assets and locations

Empowerment of Operational Experts Reduces reliance on data scientists.

• Intuitive interface for process engineers and operators
• Promotes a culture of continuous improvement