@RISK vs. SAS Visual Statistics
A side-by-side comparison based on G2 review data.
| Metric | @RISK | SAS Visual Statistics |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 11 | 25 |
| Ease of use | 8.6 | 8.7 |
| Ease of setup | 9.3 | 8.3 |
| Quality of support | 7.9 | 9.0 |
| Meets requirements | 8.6 | 8.8 |
| NPS | 45.454545 | 62.5 |
| Small Business | 18.2% | 32.0% |
| Mid-Market | 63.6% | 16.0% |
| Enterprise | 18.2% | 52.0% |
| Total page views | 353 | 80 |
| Total LLM citations | 2,007 | 4 |
@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.
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