4.3 out of 5 (45 Ratings)
Apr 18, 2017
Very high costs. Sometimes an unwillingness to share information. Setup and infrastructure difficult. Security access difficult. Only plays nicely with other tools inside of a SAS environment. The tools are very powerful, but do not feel as modern or easy to use as other, newer applications. The apps have an old-school feeling.
Apr 11, 2017
They were very responsive but our business space was new to them so they had difficulty answering our questions
Apr 8, 2017
SAS works for me.
Mar 22, 2017
The platform is very powerful in itself - offers significantly more options for analyzing data than other players. The interface is very user-friendly and we have the full option of coding as well which helps us access the entire suite of algorithms and not just restrict us to the fixed set offered in Eminer. A couple of cons: 1.Extremely resource intensive 2.Resorts to sampling for some critical processes even if the user wants to develop models on entire population 3.A lot of features available in the software cannot be leveraged in full because of lack of awareness among the product support staff in the Middle East
Mar 21, 2017
Mar 16, 2017
Our new environment works well; but elements of our stack are already out of date.
Mar 14, 2017
Review for SAS and SAS inc. are both positive. Statistical models with business rules are easy to be developed and implemented via SAS. Technical Support group does a great job as well.
Mar 9, 2017
Very professional, prompt and complete responses to the questions/assistance in getting ready for installation
Mar 9, 2017
SAS Institute is not a company that seems open to forming a partnership/relationship with their clients. It's purely about short term sales for them. If there was a better option for our industry (other than SAS), we would have explored it with serious consideration.
Mar 8, 2017
Good product with advanced computational modelling and once set up easy to use information links to source databases. Workflow is well presented and easy to use, and fairly fast when computing the models. In general, the implementation is clunky - combines Linux for a server with MS Windows so is a challenge for IT department to support - our implementation requires accounts on both windows and Linux. The system itself is complicated so we tend to have to rely upon SAS to sort out problems. Their response is not always timely. The product itself delivers as advertised but its interface and clunkiness date it back into the 90s. Interoperability with open source is a weakness now when there are so many more integrated product suites on the market.