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What is TrendMiner?

TrendMiner is a cutting-edge analytics platform tailored for industrial applications, known for its speed, strength, and user-friendliness. This platform is specifically built to facilitate real-time monitoring and troubleshooting of industrial processes. By enabling comprehensive data collection, analysis, and visualization, it empowers individuals within industrial sectors to make informed, data-driven choices with enhanced efficiency. Founded in 2008, TrendMiner operates as a subsidiary of Proemion and maintains its global headquarters in Belgium, with additional offices situated in the U.S.A., Germany, Spain, and the Netherlands. The company has forged strategic partnerships with industry giants such as Amazon, Microsoft, and SAP, enhancing its market presence. Furthermore, TrendMiner provides standard integrations for a wide range of data historians, including well-known systems like Honeywell PHD and GE Proficy Historian, ensuring seamless compatibility and functionality across various platforms. This extensive network of connections highlights TrendMiner's commitment to delivering comprehensive analytics solutions in the industrial landscape.

What is AVEVA Predictive Analytics?

Improving reliability, efficiency, and safety stands out as a key priority for industrial firms and businesses today. These companies are channeling their resources towards controlling costs while striving to extract optimal value from their current assets. The AVEVA Predictive Analytics platform plays a crucial role in helping organizations achieve maximum returns from their essential assets, particularly through its facilitation of predictive maintenance (PdM) strategies. By delivering timely alerts and diagnostics regarding equipment issues well ahead of possible failures, our AVEVA Predictive Analytics solution enables asset-intensive businesses to reduce equipment downtime and enhance reliability, all while improving overall performance and reducing operational and maintenance expenses. Moreover, AVEVA Predictive Analytics is crafted for seamless integration with a wide range of control and monitoring systems, offering flexible deployment alternatives either on-premises or in the cloud. This adaptable system is capable of monitoring anything from individual assets to entire facilities or even numerous remote assets spread across different locations, thus addressing the diverse needs of organizations of varying sizes. Consequently, this flexibility allows companies to tailor the solution to fit their specific operational demands and goals more effectively. Ultimately, embracing such innovative technologies can significantly transform an organization's operational landscape, leading to sustained competitive advantage.

Media

Media

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Redshift
Amazon Timestream
Aspen InfoPlus
Azure SQL Database
Emerson DeltaV
Honeywell Uniformance
Ignition SCADA
MySQL
PARCview
PostgreSQL
Proficy Smart Factory MES
TimescaleDB
dataPARC Historian

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TrendMiner

Date Founded

2008

Company Location

Belgium (HQ), USA, Germany, Netherlands, Spain

Company Website

www.trendminer.com

Company Facts

Organization Name

Aveva

Date Founded

1967

Company Location

United Kingdom

Company Website

www.aveva.com/en/products/predictive-analytics/

Categories and Features

Brewery

Production Tracking
Quality Control

Chemical

Reporting & Statistics
Uncertainty Analysis

Emissions Management

Emission Reduction Planning
Emissions Monitoring
Risk Management

Energy Management

Emissions Monitoring
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management

IoT Analytics

Not specified

Manufacturing

Quality Management
Reporting/Analytics
Safety Management

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Oil and Gas

Maintenance Management
Material Management
Resource Management

Predictive Analytics

Data Mining
Modeling & Simulation

Process Manufacturing

Not specified

Root Cause Analysis

Not specified

Categories and Features

Predictive Analytics

Not specified

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