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Average Ratings 0 Ratings
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
Gain secure access to cutting-edge data visualization and analytics at your convenience, no matter the time or place. Utilize sophisticated device management features, diagnostics, and analytics to oversee distributed sensor networks effectively. Develop tailored image-based visualizations that incorporate embedded sensor information and their respective alert statuses. Construct data tables that feature both raw and calculated metrics for easy viewing, comparison, and exportation. Document and track changes to system and sensor properties throughout the entire project lifecycle to ensure comprehensive oversight. Specify conditions for calculating user-defined thresholds and enable adaptable notification distribution based on those criteria. Bring in essential documents, images, inspection logs, and event data to serve as a detailed record of project advancements and performance metrics. Leverage powerful tools for creating and disseminating reports while seamlessly linking those reports to real-time visualizations such as charts, graphs, maps, and dashboards. This integrated approach not only enhances project management but also improves decision-making and accountability throughout the project’s duration.
API Access
Has API
No
API Access
Has API
No
Integrations
Capgemini Intelligent Automation Platform
Yes
DataTerrain
Yes
HPE Consumption Analytics
Yes
NVMesh
Yes
Omnio
Yes
Phonexia Voice Inspector
Yes
SAS Data Loader for Hadoop
Yes
SAS MDM
Yes
SAS Visual Statistics
Yes
SAS Viya
Yes
Integrations
Capgemini Intelligent Automation Platform
No
DataTerrain
No
HPE Consumption Analytics
No
NVMesh
No
Omnio
No
Phonexia Voice Inspector
No
SAS Data Loader for Hadoop
No
SAS MDM
No
SAS Visual Statistics
No
SAS Viya
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
SAS Institute
Country
United States
Website
support.sas.com/en/software/analytics-for-iot-support.html
Vendor Details
Company Name
sensemetrics
Founded
2015
Country
United States
Website
sensemetrics.com/platform/software/
Product Features
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
No
Data Collection
Yes
Data Management
Yes
Device Management
No
Performance Management
No
Prototyping
No
Visualization
Yes
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No