SAS Risk Modeling vs. FactSet Workstation
A side-by-side comparison based on G2 review data.
| Metric | SAS Risk Modeling | FactSet Workstation |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 12 | 72 |
| Ease of use | 8.3 | 8.3 |
| Ease of setup | 8.3 | 8.1 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 50 | 45.833333 |
| Small Business | 25.0% | 45.8% |
| Mid-Market | 25.0% | 26.4% |
| Enterprise | 50.0% | 27.8% |
| Total page views | 12 | 1,086 |
| Total LLM citations | 21 | 18,328 |
SAS Risk Modeling
SAS Risk Modeling delivers an integrated infrastructure to handle data, build models using traditional statistical methods as well as advanced machine learning techniques, backtest the model, and implement them quickly providing a more flexible risk modeling solution than any outsourcing alternative. With SAS Risk Modeling, modelers can create open, explainable models in a well-managed and controlled environment. And they can do it for their regulatory risk, business models and using the latest analytic techniques, such as artificial intelligence (AI) and machine learning.
- Implementation Ease
- Ease of Use
- Analytics
- Features
FactSet Workstation
The FactSet Workstation is a dynamic platform designed to empower financial professionals with seamless data access, advanced analytics, and intuitive technology. Integrating over 800 data sources across asset classes and markets, it consolidates crucial insights and elevates decision-making. Equipped with AI-powered tools, including smart search and chat features, the workstation simplifies complex workflows, enabling users to uncover insights quickly and improve collaboration.
- User Experience
- Ease of Use
- Customization
- Features
- Insights Delivery
- Tools