SAS Predictive Asset Maintenance
Anticipate equipment failure. Maximize uptime. With AI and IoT analytics.
Overview
SAS Predictive Asset Maintenance is a software solution that uses the power of the SAS Viya platform to analyze IoT data from sensors and streaming devices. It applies advanced analytics and machine learning to this data to identify patterns, predict equipment degradation or failure, and provide insights to optimize maintenance schedules. The solution is designed to help asset-intensive industries reduce downtime, lower costs, and improve safety.
✨ Key Features
- Real-time Sensor Data Analysis
- Machine Learning for Failure Prediction
- Root Cause Analysis
- Remaining Useful Life (RUL) Estimation
- Scalable Analytics Platform (Viya)
- Integration with existing data sources
🎯 Key Differentiators
- Decades of leadership in advanced analytics and statistics
- End-to-end platform from data management to model deployment
- Ability to handle massive volumes of streaming data
Unique Value: Provides a robust and comprehensive analytics framework that enables organizations to develop and operationalize highly accurate predictive maintenance models at scale, backed by SAS's world-renowned analytical capabilities.
🎯 Use Cases (5)
✅ Best For
- Analyzing streaming data from connected vehicles to predict component failure
- Monitoring energy grid assets to prevent outages
- Optimizing MRO schedules in manufacturing based on predictive models
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Small businesses without data science teams or large data volumes
- Companies looking for a simple CMMS for work order tracking
🏆 Alternatives
Offers deeper and more extensive analytical capabilities than many IIoT platforms, and provides a more integrated, enterprise-ready solution than building models from scratch with open-source tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Varies by support plan tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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