SAS Visual Statistics vs. @RISK
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | @RISK |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 25 | 11 |
| Ease of use | 8.7 | 8.6 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 9.0 | 7.9 |
| Meets requirements | 8.8 | 8.6 |
| NPS | 62.5 | 45.454545 |
| Small Business | 32.0% | 18.2% |
| Mid-Market | 16.0% | 63.6% |
| Enterprise | 52.0% | 18.2% |
| Total page views | 80 | 353 |
| Total LLM citations | 4 | 2,007 |
SAS Visual Statistics
Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on.
- Ease of Use
- Machine Learning
- Analytics
- Customer Support
- Reporting
- Scalability
@RISK
Probabilistic Risk Analysis in Excel From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK. @RISK integrates directly into Microsoft Excel and employs Monte Carlo simulation to map out all possible scenarios and the probability they will occur – taking the guesswork out of big decisions. With @RISK, you can calculate the chances of making money on your next venture, staying within budget, and more to plan strategies with confidence. Buy now or request a free trial to start uncovering new opportunities.