SAS Visual Forecasting vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Forecasting | dataPARC |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 13 | 39 |
| Ease of use | 8.1 | 9.2 |
| Ease of setup | 7.6 | 9.0 |
| Quality of support | 8.4 | 9.7 |
| Meets requirements | 9.4 | 9.6 |
| NPS | 66.666667 | 97.435897 |
| Small Business | 30.8% | 5.3% |
| Mid-Market | 30.8% | 63.2% |
| Enterprise | 38.5% | 31.6% |
| Total page views | 92 | 321 |
| Total LLM citations | 58 | 670 |
SAS Visual Forecasting
SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R.
- Ease of Use
- Integrations
- Features
- Time Management
- Drag
- Design Creativity
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