We performed a comparison between IBM SPSS Statistics, SAS Analytics, and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"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."
"IBM SPSS Statistics depends on AI."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"The most valuable feature is the ability to handle large data sets."
"I use SAS daily to analyze data, produce reports, and other outputs."
"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."
"It's very easy to use once you learn it."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The technical support is okay."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"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."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The technical support is very good."
"he solution is scalable."
"The solution is very good for data mining or any mining issues."
"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."
"I like the way the product visually shows the data pipeline."
"The most valuable feature is the decision tree creation."
"The technical support should be improved."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"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."
"It could allow adding color to data models to make them easier to interpret."
"Needs more statistical modelling functions."
"The solution needs to improve forecasting using time series analysis."
"There is a learning curve; it's not very steep, but there is one."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"This solution should be made more user-friendly."
"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."
"The installation could also be easier, and the price could be better."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The natural language querying and automated preparation of dashboards should be improved."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The product must provide better integration with cloud-native technologies."
"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 ease of use can be improved. When you are new it seems a bit complex."
"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 visualization of the models is not very attractive, so the graphics should be improved."
"The initial setup is challenging if doing it for the first time."
"The user interface of the solution needs improvement. It needs to be more visual."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
