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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.

What is Mingo?

Address issues as they arise with immediate insights from the production floor. Mingo Smart Factory stands out as the most user-friendly and quickly deployable manufacturing analytics system that scales effortlessly with your needs. This productivity platform offers a plug-and-play solution that integrates smoothly with your existing hardware setup. Mingo acts as a powerful manufacturing productivity and analytics tool that delivers real-time insights into the factory environment, helping to minimize downtime, enhance timely deliveries, and boost profitability for manufacturers. Mingo empowers production facilities with analytics and software tailored for manufacturing productivity, allowing businesses to start with small steps, envision grand goals, and accelerate their progress. Beyond being mere software, Mingo incorporates sensors designed to modernize older machinery, bringing them up to date with current technology. This digital toolkit is essential for reducing downtime, providing real-time visibility, replacing outdated Excel systems, unlocking capacity, and enhancing Overall Equipment Effectiveness (OEE). By utilizing Mingo, companies can decrease waste, improve operational efficiency, and propel their next stage of growth. All of this is achievable through a single, comprehensive platform, making it hard to believe you ever managed your factory without its remarkable capabilities. The ease of use and efficiency of Mingo can transform how you operate, paving the way for future innovations.

Media

Media

Integrations Supported

CLEAN_Data
Epicor Kinetic
Fiix
Freight Tiger
IBM Maximo Application Suite
Infor CloudSuite Industrial Enterprise
Microsoft Dynamics 365
NetSuite
Oracle Fusion Cloud ERP
Oracle NoSQL Database
Plex Smart Manufacturing Platform
SAP Analytics Cloud
Sage X3
UpKeep

Integrations Supported

CLEAN_Data
Epicor Kinetic
Fiix
Freight Tiger
IBM Maximo Application Suite
Infor CloudSuite Industrial Enterprise
Microsoft Dynamics 365
NetSuite
Oracle Fusion Cloud ERP
Oracle NoSQL Database
Plex Smart Manufacturing Platform
SAP Analytics Cloud
Sage X3
UpKeep

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

Oracle

Date Founded

1977

Company Location

United States

Company Website

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

Company Facts

Organization Name

Mingo Smart Factory

Date Founded

2015

Company Location

United States

Company Website

www.mingosmartfactory.com

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

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

Manufacturing Execution

Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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