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ease
features
design
support

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Description

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

Description

Conventional automation pyramids prioritize reliability, yet they often fall short in adapting to new technologies such as cloud computing or artificial intelligence. The introduction of a Unified Namespace allows for the creation of an integration layer that effectively addresses this limitation. The UMH Integrated Platform serves as a cloud-native solution tailored to handle your organization's IIoT framework. Furthermore, it provides engineers with essential capabilities to configure and monitor all data flows, applications, and devices, streamlining management through an intuitive interface. This seamless integration not only enhances operational efficiency but also positions companies to better leverage future technological advancements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
Kubernetes
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

Integrations

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
Kubernetes
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$40,000 per year
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

SAS Institute

Country

United States

Website

support.sas.com/en/software/analytics-for-iot-support.html

Vendor Details

Company Name

United Manufacturing Hub

Founded

2021

Country

Denmark

Website

www.umh.app/

Product Features

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

Product Features

IoT

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

Alternatives

Alternatives

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