TrendMiner - Industrial Analytics Platform
TrendMiner helps operations teams in manufacturing and energy sectors analyze sensor data and production performance. It is designed for organizations that need to monitor assets and perform root cause analysis.
At a glance
- Category
- Operations
- Best for
- Manufacturing companies, Process engineers, Operations managers, Industrial data analysts
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Operations Performance Management, Asset Performance Management, Compliance and Safety Reporting, Root Cause Analysis
- Integrations
- OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian
- Official website
- trendminer.com
TrendMiner is an analytics platform designed for operational specialists in process manufacturing. It focuses on translating raw sensor and time-series data into a format that allows teams to identify patterns, diagnose issues, and monitor production performance.
Key Features
Tools for searching through historical data to identify patterns, multi-variate conditions, and relationships.
Continuous observation of assets with automated alerts delivered to mailboxes or notification centers.
Adds layers of metadata, such as timestamps and classifications, to raw time-series data to improve readability.
Includes predictive analytics and pattern recognition technology to support root cause analysis.
User-created visualization boards for tracking progress and sharing insights across teams.
A built-in notebook for users to transform data and build custom visualizations using libraries such as Matplotlib and Plotly.
Use Cases
Analyzing production data to identify opportunities for process optimization.
Monitoring equipment health to help anticipate and prevent potential failures.
Tracking emissions and maintaining product quality monitoring to support environmental and safety regulations.
Using pattern recognition and correlations to help diagnose the cause of operational deviations.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is designed for process manufacturing industries, including chemicals, food and beverages, energy, life sciences, and water management.
TrendMiner offers deployment options including On-Premise, Private Cloud, SaaS, or Hybrid environments.
Yes, it supports integrations with historians such as OSIsoft PI, Wonderware, and SAP, as well as relational databases and CSV files.
Source category: Operations
Source subcategory: Analytics & Reporting
Software Type:
How AI is used
TrendMiner is an industrial analytics platform for manufacturing operations teams. It supports time-series analysis, 24/7 asset monitoring, and root cause diagnosis using Industrial AI. It supports SaaS, on-premise, and hybrid deployment setups.
Pros & Cons
- Flexible deployment options including SaaS, on-premise, and hybrid.
- Focus on making data accessible to operational experts.
- Includes a Python environment for custom data science needs.
- Automated data contextualization may reduce manual data preparation.
- Pricing is not clearly available from the provided evidence.
- Full utilization of advanced analytics may require specific technical skills for the Python environment.
