We performed a comparison between IBM SPSS Modeler and IBM SPSS Statistics based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."
"Automation is great and this product is very organized."
"The quality is very good."
"The supervised models are valuable. It is also very organized and easy to use."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."
"The visual modeling capability is one of its attractive features."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"SPSS is quite robust and quicker in terms of providing you the output."
"in terms of the simplicity, I think the SPSS basic can handle it."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"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."
"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 most valuable feature is its robust statistical analysis capabilities."
"The product does not have a search function for tags."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"I think mapping for geographic data would also be a really great thing to be able to use."
"Unstructured data is not appropriate for SPSS Modeler."
"Customer support is hard to contact."
"It's not as user friendly as it could be."
"Requires more development."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"There is a learning curve; it's not very steep, but there is one."
"It could provide even more in the way of automation as there are many opportunities."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"The solution needs more planning tools and capabilities."
"I think the visualization and charting should be changed and made easier and more effective."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"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."
"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."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews. IBM SPSS Modeler is rated 8.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, Alteryx and SAS Visual Analytics, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and Google Cloud Datalab. See our IBM SPSS Modeler vs. IBM SPSS Statistics report.
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