SAS for Advanced Analytics
Overall Satisfaction with SAS Analytics
My organization uses SAS Analytics for advanced analytics. It is used in various departments, including human capital and information management. It is used for predictive modeling, data manipulation, clustering and optimization.
Pros
- SAS Analytics is excellent for modeling. You can use a variety of modeling techniques and SAS Analytics produces robust reports on the model you are creating.
- SAS Analytics is excellent for data exploration. It has good etl capabilities, and once you have the data loaded you can preform a lot of statistics and other explorative measures.
Cons
- SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
- SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.
- SAS analytics has helped our employee efficiency, as it provides analytics procedures that do not require as much background knowledge as other analytics tools.
- R Studio
R is of course much cheaper (free) than SAS Analytics, and it can do everything SAS Analytics can do and more. It is a much more technical tool than SAS Analytics, which is why some people prefer SAS Analytics.
SAS Analytics Support
Pros | Cons |
---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Immediate help available Support cares about my success Quick Initial Response | None |
No - It's not licensed to me.
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