SAS Enterprise Miner
193
Reviews
4.2
Star rating
#21
Rank in Statistical Analysis
Pros and cons
Pros
- Ease of Installation
- Statistical Analysis
- Ease of Use
Cons
- Learning Curve
- Steep Learning Curve
- Not User-Friendly
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
-100.0%
42
Enterprise
3
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 14.5% |
| Mid-Market | 27.5% |
| Enterprise | 58.0% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q2 | 1 | 5.0 |
| 2026 Q2 | 1 | 4.5 |
Satisfaction ratings
Ease of Use8.0
Ease of Setup8.0
Quality of Support8.5
Meets Requirements8.9
What reviewers say
Great Decision Trees That Deliver
4.5
“Interactive Decision trees are the best to help me with my work in building segmentations.”
Best Tool for Predictive Modelling
5.0
“One of the Best tool for Predictive modelling. We have used this tool for making Credit risk model like predicting the deafulter by anlysisng the credit bureau variables.”
Best Tool for Predictive modelling and Data mining
5.0
“SAS Enterprise Miner has helped us in building credit risk scoring models for our credit card product. It has also helped in making fraud detection models as well. Apart from this , we can easily do initial data exploration exercises during any predictive model building.It is ver”