
Software Diagnostics
End-to-end software diagnostics and observability platform.

TrendMiner translates operational data into smarter and faster data-driven decisions for operational excellence with Industrial Analytics.

TrendMiner is an industrial analytics platform designed to empower operational teams to make data-driven decisions. It specializes in time-series data analysis, enabling users to monitor, analyze, and predict operational performance. The platform integrates with existing data historians and data lakes to contextualize time-series data, transforming it into meaningful events through an enhanced data layer. Users can build personalized dashboards, share insights across teams, and set up real-time monitoring with instant alerts. TrendMiner's advanced analytics capabilities help users identify root causes of operational issues, optimize processes, and improve asset performance. By providing fast and intuitive access to operational data, TrendMiner facilitates accelerated time to value, enabling users to react to critical events and make informed decisions quickly.
TrendMiner is an industrial analytics platform designed to empower operational teams to make data-driven decisions.
Explore all tools that specialize in analyze time-series data. This domain focus ensures TrendMiner delivers optimized results for this specific requirement.
Explore all tools that specialize in root cause analysis. This domain focus ensures TrendMiner delivers optimized results for this specific requirement.
Identifies recurring patterns and anomalies in time-series data using machine learning algorithms. Detects deviations from normal operating conditions.
Forecasts future performance based on historical data and current trends. Uses machine learning models to predict equipment failures, process deviations, and other critical events.
Pinpoints the underlying causes of operational issues by analyzing time-series data, event logs, and other relevant information. Employs statistical methods and machine learning algorithms to identify causal relationships.
Provides real-time visibility into operational performance through customizable dashboards and alerts. Monitors key performance indicators (KPIs) and triggers notifications when predefined thresholds are breached.
Facilitates collaboration among team members by enabling them to share insights, create reports, and build personalized dashboards. Provides tools for data visualization, annotation, and communication.
Transforms raw time-series data into meaningful events by adding context from other data sources (e.g., asset information, process parameters, maintenance records). Uses data integration and data enrichment techniques to create a comprehensive view of operational performance.
Connect TrendMiner to your existing data historians (e.g., OSIsoft PI System, AspenTech InfoPlus.21).
Configure data contextualization settings to transform raw time-series data into meaningful events.
Create user accounts and define roles/permissions for different team members.
Build personalized dashboards to visualize key performance indicators (KPIs) and operational metrics.
Set up monitoring and alerting rules to receive instant notifications for critical events.
Train users on how to explore data, generate insights, and collaborate using the platform.
Integrate TrendMiner with other business systems (e.g., ERP, CMMS) through the API.
Configure security settings and data compliance policies to ensure data privacy and integrity.
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