SAS Production Quality Analytics vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | SAS Production Quality Analytics | dataPARC |
|---|---|---|
| Overall rating | 4.8 | 4.9 |
| Review count | 10 | 39 |
| Ease of use | 9.6 | 9.2 |
| Ease of setup | 9.4 | 9.0 |
| Quality of support | 9.9 | 9.7 |
| Meets requirements | 9.4 | 9.6 |
| NPS | 90 | 97.435897 |
| Small Business | 0.0% | 5.3% |
| Mid-Market | 60.0% | 63.2% |
| Enterprise | 40.0% | 31.6% |
| Total page views | 29 | 321 |
| Total LLM citations | 14 | 670 |
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
dataPARC
dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise.
- Insights
- Training
- Data Visualization
- Features
- Ease of Use
- Customizability