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What is Orquestra IIoT Data Manager?

Orquestra IIoT Data Manager functions as an all-encompassing platform for data acquisition, effectively managing field data and relaying insights related to various company applications. This innovative solution facilitates effortless communication with a multitude of machines and devices deployed in the field, regardless of the underlying technologies, while standardizing the information produced to create a cohesive interface that collects data on machinery performance and production processes. Users have the flexibility to tailor how they monitor these processes, which improves information accessibility and optimizes production line management. It also provides real-time Overall Equipment Effectiveness (OEE) metrics, assesses performance metrics from manufacturing sites, and guarantees the accuracy of the data it gathers. Moreover, the platform automates the entire data collection process, ensuring seamless tracking of both progress and production. It further supplies immediate notifications regarding events and critical situations, enabling quick corrective actions to be implemented. With these robust features, Orquestra IIoT Data Manager not only enhances operational efficiency but also elevates responsiveness in manufacturing environments, ultimately driving better decision-making and improved outcomes. This comprehensive approach makes it an invaluable tool for modern industrial operations.

What is Oracle IoT Intelligent Applications Cloud?

Oracle’s IoT Intelligent Applications Cloud provides improved visibility, actionable insights, and enhanced operational efficiencies by utilizing data from interconnected devices, specifically targeting areas such as smart manufacturing, connected assets, logistics, workplace safety, and customer experiences. By implementing IoT applications, organizations can increase their revenue by optimizing efficiency, enhancing supply chain transparency, and developing new business models. Moreover, the real-time data collected from sensors allows businesses to avert potential downtimes through proactive maintenance of their machinery, vehicles, and other assets. Cost savings can be realized through effective monitoring of vehicle routes and tracking products in transit, ensuring that resources are managed effectively. In addition, the platform assists in maintaining regulatory compliance and quickly diagnosing incident causes by providing immediate insights into workplace conditions, leading to a safer work environment. Embracing these cutting-edge IoT solutions can fundamentally reshape operational approaches and promote enduring growth while also fostering innovation across various sectors. Overall, organizations that invest in such technologies are likely to experience a competitive advantage in their respective industries.

Media

Media

Integrations Supported

CLEAN_Data
Freight Tiger
Oracle NoSQL Database

Integrations Supported

CLEAN_Data
Freight Tiger
Oracle NoSQL Database

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard 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

Softeam

Company Location

Italy

Company Website

www.softeam.it

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/internet-of-things/

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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