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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GO+ provides development resources tailored for service providers, enabling them to create additional offerings for their business clientele. The platform is designed to handle a large volume of devices simultaneously through advanced algorithms. This allows service providers to focus less on the challenges of developing new services for their customers. At the heart of the platform lies an analytical decision-making engine that utilizes Granular Computing for intricate data processing and analysis with complex event handling. We leverage cloud technology that seamlessly integrates business logic from real devices directly to the cloud environment. This scalability ensures that we can offer cost-effective solutions. Additionally, the platform's scripting engine equips developers with a comprehensive suite of tools to craft highly customized IoT services applicable across various industries. GO+ is constructed on cutting-edge cloud computing technology, ensuring optimal performance and reliability. Ultimately, GO+ empowers service providers to innovate without the typical constraints associated with service development.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Cloud9
Amazon Web Services (AWS)
Capgemini Intelligent Automation Platform
DataTerrain
Facebook
GitHub
Google
HPE Consumption Analytics
Hadoop
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo
Wolfram Data Science Platform
X (Twitter)
Yandex

Integrations

AWS Cloud9
Amazon Web Services (AWS)
Capgemini Intelligent Automation Platform
DataTerrain
Facebook
GitHub
Google
HPE Consumption Analytics
Hadoop
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo
Wolfram Data Science Platform
X (Twitter)
Yandex

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

GO+

Country

United States

Website

goplusplatform.com/platform/

Vendor Details

Company Name

SAS Institute

Country

United States

Website

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

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

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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Alternatives

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