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What is SAS Event Stream Processing?

Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.

What is Kelvin?

Elevate your process management capabilities by pinpointing areas for improvement in real-time data monitoring systems. Adopt closed-loop control methods to enhance operational efficiency effectively. Integrate traditional system architectures with contemporary insights and data through a solid software integration framework. Revamp your workflows and assignments into specialized control applications that are aimed at maximizing operational productivity and enhancing team effectiveness. Supervise, modify, and optimize these control applications to ensure they play a pivotal role in generating value for your business. Employ user-friendly tools to merge various data streams into a unified platform, enhancing accessibility and usability. Commit to the consistent refinement and enhancement of information as it flows through your systems, ensuring high-quality data delivery. Simplify the creation of control applications by developing a thorough data model tailored to your needs. Identify trends and irregularities within your streaming data to guide and refine decision-making processes related to control. Such strategies empower organizations to achieve remarkable improvements in their operational dynamics, setting the stage for sustained success. As a result, businesses can adapt and thrive in an ever-evolving marketplace.

Media

Media

Integrations Supported

Armada.ai
Azure Marketplace

Integrations Supported

Armada.ai
Azure Marketplace

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

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/event-stream-processing.html

Company Facts

Organization Name

Kelvin

Date Founded

2013

Company Location

United States

Company Website

kelvin.ai/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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