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."When needed, we will work closely with Oracle support and implement their workaround in our application."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Ability to pull together multiple sources of information."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"I use SAS daily to analyze data, produce reports, and other outputs."
"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."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"It's very easy to use once you learn it."
"The technical support is okay."
"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."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"One area for product improvement is the user experience, particularly when navigating through screens."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"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."
"Support at universities used to be limited, but I hear this is changing."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"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."
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Oracle Advanced Analytics is ranked 6th in Data Mining with 9 reviews while SAS Analytics is ranked 5th in Data Mining with 11 reviews. Oracle Advanced Analytics is rated 8.2, 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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