We performed a comparison between IBM SPSS Statistics, SAS Enterprise Miner, and Teradata Analytics [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The most valuable feature is its robust statistical analysis capabilities."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"You can quickly build models because it does the work for you."
"IBM SPSS Statistics depends on AI."
"Most of the product features are good but I particularly like the linear regression analysis."
"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)."
"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 technical support is very good."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"Good data management and analytics."
"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."
"he solution is scalable."
"Provides ease of formulating a solution based on SQL-like queries."
"It has been fantastic for running complete data sets (no sampling required)."
"nPath has made journey/path analysis much easier."
"The solution needs to improve forecasting using time series analysis."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"There is a learning curve; it's not very steep, but there is one."
"It could allow adding color to data models to make them easier to interpret."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"The user interface of the solution needs improvement. It needs to be more visual."
"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 visualization of the models is not very attractive, so the graphics should be improved."
"The product must provide better integration with cloud-native technologies."
"Technical support could be improved."
"The initial setup is challenging if doing it for the first time."
"Virtualization could be much better."
"We have struggled with uptime. Some of the features need to be updated."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
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