SAS Production Quality Analytics vs. TrendMiner
A side-by-side comparison based on G2 review data.
| Metric | SAS Production Quality Analytics | TrendMiner |
|---|---|---|
| Overall rating | 4.8 | 4.6 |
| Review count | 10 | 201 |
| Ease of use | 9.6 | 9.0 |
| Ease of setup | 9.4 | 8.7 |
| Quality of support | 9.9 | 9.4 |
| Meets requirements | 9.4 | 8.9 |
| NPS | 90 | 81.725888 |
| Small Business | 0.0% | 14.5% |
| Mid-Market | 60.0% | 34.5% |
| Enterprise | 40.0% | 51.0% |
| Total page views | 29 | 491 |
| Total LLM citations | 14 | 1,628 |
SAS Production Quality Analytics
Get a comprehensive view of quality and operational performance across the enterprise and throughout your entire supply chain. Achieve better Industrial Internet of Things support with advanced data models. By combining the power of data integration, automation and analytics, SAS enables you to fully understand operational processes so you can make sustainable improvements and lower associated costs.
- Data Analysis
- Understanding
- Ease of Use
- Data Visualization
- Data Accuracy
- Manufacturing Integration
TrendMiner
TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities.
- Ease of Use
- Speed
- Data Analysis
- Real-Time Monitoring
- Dashboard Trends
- Intuitive