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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.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Manufacturing companies, Process engineers, Operations managers, Industrial data analysts
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
Visit trendminertrendminer software interface screenshot

How AI is used

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

  • Timeseries and Event Analytics

    Tools for searching through historical data to identify patterns, multi-variate conditions, and relationships.

  • 24/7 Monitoring and Alerting

    Continuous observation of assets with automated alerts delivered to mailboxes or notification centers.

  • Data Contextualization

    Adds layers of metadata, such as timestamps and classifications, to raw time-series data to improve readability.

  • Machine Learning

    Includes predictive analytics and pattern recognition technology to support root cause analysis.

  • Custom Dashboards

    User-created visualization boards for tracking progress and sharing insights across teams.

  • Python Environment

    A built-in notebook for users to transform data and build custom visualizations using libraries such as Matplotlib and Plotly.

Use Cases

  • Operations Performance Management

    Analyzing production data to identify opportunities for process optimization.

  • Asset Performance Management

    Monitoring equipment health to help anticipate and prevent potential failures.

  • Compliance and Safety Reporting

    Tracking emissions and maintaining product quality monitoring to support environmental and safety regulations.

  • Root Cause Analysis

    Using pattern recognition and correlations to help diagnose the cause of operational deviations.

Integrations

  • OSIsoft PI
  • Yokogawa Exaquantum
  • AspenTech IP.21
  • Honeywell PHD
  • GE Proficy Historian
  • Wonderware InSQL
  • SAP

FAQ

What industries is TrendMiner designed for?

It is designed for process manufacturing industries, including chemicals, food and beverages, energy, life sciences, and water management.

How is TrendMiner deployed?

TrendMiner offers deployment options including On-Premise, Private Cloud, SaaS, or Hybrid environments.

Can TrendMiner integrate with existing industrial data sources?

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

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