We performed a comparison between IBM SPSS Modeler, Oracle Advanced Analytics, and SAS Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."We have been able to do some predictive modeling with it"
"It is pretty scalable."
"It will scale up to anything we need."
"Stability is good."
"Automation is great and this product is very organized."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"It works fine. I have not had any stability issues; it is always up."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"Ability to pull together multiple sources of information."
"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."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"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."
"It has facilitated timely analysis results with quality work and meaningful output."
"The most valuable feature is the ability to handle large data sets."
"I use SAS daily to analyze data, produce reports, and other outputs."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"It would be good if IBM added help resources to the interface."
"The platform's cloud version needs improvements."
"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."
"I would like see more programming languages added, like MATLAB. That would be better."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"It's not as user friendly as it could be."
"Requires more development."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"There are some transactions we have not been able to find through the dashboard."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"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."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"They could enhance the AI capabilities of the product."
"Support at universities used to be limited, but I hear this is changing."
Earn 20 points
