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What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

What is C2M?

C2M® significantly boosts the automation of complex business processes by merging Digital Transformation with the Internet of Things (IoT), all while maintaining a level of flexibility and adaptability necessary for change. Its three-tiered architecture ensures real-time connectivity to diverse data sources, provides comprehensive big data analysis through user-friendly dashboards, and facilitates genuine process automation via event management and customized workflows. The Workflow component of C2M® offers a comprehensive solution that rejuvenates outdated procedures into agile, web-based, and streamlined systems. Furthermore, C2M® features a drag-and-drop interface for workflow automation that adapts to changing business demands, making it possible to achieve crucial process automation without incurring the excessive costs that often come with updating existing IT systems. Users can easily design intricate operations and seamlessly incorporate workflows into both new and established applications, thereby significantly boosting efficiency and productivity. This forward-thinking strategy not only enhances operational performance but also equips organizations to excel in an ever-evolving business environment. By leveraging such innovative technologies, businesses can ensure they remain competitive and responsive to market dynamics.

Media

Media

Integrations Supported

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

Integrations Supported

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

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

SAS Institute

Company Location

United States

Company Website

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

Company Facts

Organization Name

C2M

Company Location

United States

Company Website

www.c2m.net

Categories and 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

Categories and 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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