@RISK vs. IBM SPSS Modeler
A side-by-side comparison based on G2 review data.
| Metric | @RISK | IBM SPSS Modeler |
|---|---|---|
| Overall rating | 4.2 | 4.0 |
| Review count | 11 | 148 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 9.3 | 8.5 |
| Quality of support | 7.9 | 8.3 |
| Meets requirements | 8.6 | 8.6 |
| NPS | 45.454545 | 30.46875 |
| Small Business | 18.2% | 22.4% |
| Mid-Market | 63.6% | 24.5% |
| Enterprise | 18.2% | 53.1% |
| Total page views | 353 | 175 |
| Total LLM citations | 2,007 | 638 |
@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.
IBM SPSS Modeler
The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture.
- Fast Processing
- Data Visualization
- Machine Learning
- Ease of Use
- Integrated Platform
- Analytics