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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Addressing the challenges faced by modern enterprises and industries hinges on the effective utilization of big data. The capability to gather information from various sources within your organization—whether it originates from different applications, individuals, or IoT systems—presents enormous opportunities. Infor’s Data Lake tools offer schema-on-read intelligence coupled with a rapid and adaptable data consumption framework, facilitating innovative approaches to critical decision-making. By gaining streamlined access to your entire Infor ecosystem, you can initiate the process of capturing and leveraging big data to enhance your analytics and machine learning initiatives. Extremely scalable, the Infor Data Lake serves as a cohesive repository, allowing for the accumulation of all your organizational data. As you expand your insights and investments, you can incorporate additional content, leading to more informed decisions and enriched analytics capabilities while creating robust datasets to strengthen your machine learning operations. This comprehensive approach not only optimizes data management but also empowers organizations to stay ahead in a rapidly evolving landscape.

Description

Infor's Internet of Things (IoT) platform facilitates the secure collection of sensor data from any location, handling it effectively at scale. By integrating this sensor data with the information from Infor CloudSuite™ EAM, users gain enhanced insights into asset health monitoring. This enriched context significantly improves the ability to detect exceptions, streamline workflows, enhance reporting, and utilize data analytics alongside machine learning techniques. The sensor data collected through Infor IoT is stored within the Infor Data Lake, opening up extensive opportunities for more comprehensive IoT data utilization. Additionally, device data can be supplemented with various attributes and metadata, which enhances search capabilities and device management functionalities. Users can monitor telemetry in almost real-time through a sophisticated rule engine, while device templates simplify the setup and onboarding processes. The architecture of the portal is designed with scalability in mind, and it includes a versatile rule editor for conditions and actions, enabling tailored automation and responsiveness. Overall, Infor IoT presents a robust solution for managing and analyzing Internet of Things data efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
HxGN EAM
Infor Data Lake
Infor IoT
Infor OS

Integrations

Amazon Web Services (AWS)
HxGN EAM
Infor Data Lake
Infor IoT
Infor OS

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Infor

Founded

2002

Country

United States

Website

www.infor.com/products/data-lake

Vendor Details

Company Name

Infor

Founded

2002

Country

United States

Website

www.infor.com/products/infor-iot

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Features

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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