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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 Pega for IoT?

Making informed business decisions relies heavily on the analysis of real-time data collected from various devices and sensors, allowing for swift responses. The advent of the IoT era brings a multitude of interconnected devices, which opens up considerable possibilities for the automatic generation of valuable insights and the establishment of new revenue streams. By utilizing Pega’s leading case management and BPM solutions, businesses can effectively convert insights derived from IoT into strategically aligned actions that traverse multiple business and system domains. Pega Machine Health is essential in this process, as it continually integrates individuals, processes, devices, and data to bolster the performance and value of linked IoT devices. This capability enables companies to assess situations comprehensively while also suggesting preventive strategies and repairs, significantly improving the overall customer experience. To keep a competitive advantage in the rapidly evolving IoT environment, organizations can harness the exceptional agility offered by Pega 7. Additionally, Pega 7 equips IoT teams with the tools to consistently enhance both the analytical frameworks and the coordination of actions inspired by IoT data, thereby ensuring ongoing operational excellence. Ultimately, these advanced features cultivate a proactive organizational culture, significantly boosting their ability to respond to new challenges and seize opportunities. As a result, businesses are better positioned to thrive in the dynamic landscape of the digital age.

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

Pegasystems

Date Founded

1983

Company Location

United States

Company Website

www.pega.com/products/platform/iot

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

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

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