SAS Risk Modeling vs. Serrala
A side-by-side comparison based on G2 review data.
| Metric | SAS Risk Modeling | Serrala |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 12 | 122 |
| Ease of use | 8.3 | 8.3 |
| Ease of setup | 8.3 | 7.8 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 8.7 | 8.7 |
| NPS | 50 | 63.934426 |
| Small Business | 25.0% | 23.1% |
| Mid-Market | 25.0% | 28.9% |
| Enterprise | 50.0% | 47.9% |
| Total page views | 12 | 664 |
| Total LLM citations | 21 | 3,236 |
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
Serrala
Serrala is the global market leader and innovator in finance process automation. Our award-winning suite of applications is the world’s only fully integrated and fully customizable AI finance automation portfolio. Our solutions give finance leaders the power to evolve, optimize their working capital and streamline all workflows, planning, and compliance, by automating all operational processes across Order to Cash, Procure to Pay, Cash Flow Management, and Treasury.
- Ease of Use
- Automation
- Features
- Easy Setup
- Efficiency
- Customer Support