We performed a comparison between Oracle Advanced Analytics and SAS Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Ability to pull together multiple sources of information."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"It has facilitated timely analysis results with quality work and meaningful output."
"The most valuable feature is the ability to handle large data sets."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The team immediately resolves the issues."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"There are some transactions we have not been able to find through the dashboard."
"They could enhance the AI capabilities of the product."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The installation could also be easier, and the price could be better."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"This solution should be made more user-friendly."
"Support at universities used to be limited, but I hear this is changing."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
Earn 20 points
Oracle Advanced Analytics is ranked 7th in Data Mining while SAS Analytics is ranked 5th in Data Mining with 11 reviews. Oracle Advanced Analytics is rated 8.0, while SAS Analytics is rated 9.0. The top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". On the other hand, the top reviewer of SAS Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". Oracle Advanced Analytics is most compared with IBM SPSS Statistics and Weka, whereas SAS Analytics is most compared with KNIME, IBM SPSS Statistics, Weka, SAS Enterprise Miner and IBM SPSS Modeler. See our Oracle Advanced Analytics vs. SAS Analytics report.
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