A great and excellent tool for complex data modelling and machine learning
May 03, 2019

A great and excellent tool for complex data modelling and machine learning

Akos Krommer, CISA, ACDA | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAS Enterprise Miner

SAS Enterprise Miner is used by my department for smaller machine learning models (clustering) and predictive analytics (future churn rate calculation), as well as data exploration and pattern analysis. We use the tool as well as recommend it for clients to help them improve business decision making (e.g loan decision making) and internal efficiencies.
  • Very easy to use and intuitive.
  • High performance.
  • Open source integration with R.
  • Amazing data science models.
  • Very good data preparation and exploration toolkit.
  • Still the same, very old and clunky GUI.
  • For smaller organizations, it can be quite pricey.
  • For less experienced users, the software can be a little overwhelming.
  • It has a positive ROI to our business, as our sales lead rate increased after we started recommending SAS EM.
  • Our business operation numbers improved after we introduced SAS EM and started using predictive analytics for our customer retention and customer chain prediction.
  • The statistical modelling for the risk controls in our financial department helped to reduce the related residual risk.
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
It does particularly well, where there is a need for analyzing very large datasets (e.g. large volume of claims) and the characteristics across things like insurance policies. It is performing very well with predictive analytical models (e.g. credit card defaults) or enhanced pattern analysis. However, in cases where reporting is important or where it is important that the model is easy to interpret this product may not be well suited.

SAS Enterprise Miner Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
9
Automatic Data Format Detection
8
MDM Integration
9
Visualization
5
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
9
Built-in Processors
9
Multiple Model Development Languages and Tools
7
Automated Machine Learning
8
Single platform for multiple model development
8
Self-Service Model Delivery
9
Flexible Model Publishing Options
8
Security, Governance, and Cost Controls
8