We performed a comparison between SAP Predictive Analytics and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"It provided the capability to visualize a bunch of data in an organized way."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"We've found the product to be stable and reliable."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"Great for handling complex data models."
"I use Visual Analytics for enterprise reporting."
"The product is stable, reliable, and scalable."
"This solution works for acquired data but not live, real-time data."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The solution should improve its graphics."
"It is not as mature as competitors such as Tableau and QlikView."
"The installation process can be a bit complex."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"Colours used on report objects"
Earn 20 points
SAP Predictive Analytics is ranked 24th in Data Science Platforms while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. SAP Predictive Analytics is rated 8.6, while SAS Visual Analytics is rated 8.0. The top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform and KNIME, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
