SAS Analytics for IoT
Create and sustain true value from diverse IoT data and initiatives.
Overview
SAS Analytics for IoT is a comprehensive solution that spans the entire IoT analytics life cycle, from data capture and integration to advanced analytics and deployment. It leverages SAS's powerful streaming analytics engine (SAS Event Stream Processing) to analyze data in motion, at the edge or in the cloud. With embedded AI and machine learning, it helps organizations uncover hidden patterns, predict future outcomes, and make automated, intelligent decisions based on their IoT data.
✨ Key Features
- Real-time Streaming Analytics (Event Stream Processing)
- Edge Analytics
- AI and Machine Learning
- Deep Learning and Computer Vision
- Predictive and Prescriptive Analytics
- Interactive Data Visualization
🎯 Key Differentiators
- Market-leading advanced analytics and AI capabilities
- High-performance streaming engine for real-time decisioning
- End-to-end analytics lifecycle support, from data to deployment
Unique Value: Delivers industry-leading AI and streaming analytics to help organizations make faster, more accurate decisions from their IoT data, from the edge to the cloud.
🎯 Use Cases (5)
✅ Best For
- Real-time fraud detection in financial services
- Quality control and defect detection in manufacturing
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations without data science expertise or those needing a simple device management platform.
🏆 Alternatives
Offers more sophisticated and deeper analytical capabilities than many other IoT platforms, making it ideal for complex use cases that require advanced modeling and AI.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Available tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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