We performed a comparison between IBM SPSS Statistics, SAS Enterprise Miner, and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Good data management and analytics."
"I like the way the product visually shows the data pipeline."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is able to handle quite large amounts of data beautifully."
"The most valuable feature is the decision tree creation."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"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."
"We've found the product to be stable and reliable."
"The flexibility of the configuration is valuable to me."
"It's a stable, reliable product."
"It integrates well with SAS, making it simple and quick for developers."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"Data handling is one of the best features of SAS Visual Analytics."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"The statistics should be more self-explanatory with detailed automated reports."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"Needs more statistical modelling functions."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"The design of the experience can be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution is much more complex than other options."
"The product must provide better integration with cloud-native technologies."
"Virtualization could be much better."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The visualization of the models is not very attractive, so the graphics should be improved."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The user interface of the solution needs improvement. It needs to be more visual."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"It is not as mature as competitors such as Tableau and QlikView."
"SAS Visual Analytics could be more user-friendly."
"The licensing ends up being more expensive than other options."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"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."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The installation process can be a bit complex."
