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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 Lumada IIoT?

Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.

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

Hitachi Visualization Suite

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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

Hitachi

Company Location

Japan

Company Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

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

Data Pipeline

Not specified

DataOps

Not specified

EAM

Not specified

Industrial IoT

Not specified

Integration

Not specified

IoT

Big Data Analytics
Data Collection
Data Management
Device Management
Performance Management

IoT Analytics

Not specified

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