SAS Model Manager vs. Mona
A side-by-side comparison based on G2 review data.
| Metric | SAS Model Manager | Mona |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 70 | 10 |
| Ease of use | 8.3 | 8.3 |
| Ease of setup | 7.0 | 8.6 |
| Quality of support | 8.9 | 10.0 |
| Meets requirements | 8.6 | 8.8 |
| NPS | 78.571429 | 70 |
| Small Business | 27.1% | 50.0% |
| Mid-Market | 15.7% | 40.0% |
| Enterprise | 57.1% | 10.0% |
| Total page views | 91 | 72 |
| Total LLM citations | 220 | 174 |
SAS Model Manager
SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.
- Model Variety
- Model Management
- Analytics
- Problem Solving
- Machine Learning
- Time-Saving
Mona
Mona is an intelligent monitoring platform for AI in production. Data science, machine learning, and data operation teams leverage Mona to increase trust in their AI system by giving them a powerful analytical engine that can detect issues (e.g. drifts, outliers, data integrity issues & other anomalies) weeks or longer before they come to the surface. Achieve better business results by avoiding AI catastrophes and focusing your team on the specific segments where ML models are underperforming.