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."I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"It's a very organized product. It's easy to use."
"It scales. I have not run into any challenges where it will not perform."
"The supervised models are valuable. It is also very organized and easy to use."
"We are using it either for workforce deployment or to improve our operations."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"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."
"The most valuable feature is the user interface because you don't need to write code."
"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."
"Most of the product features are good but I particularly like the linear regression analysis."
"The most valuable feature is its robust statistical analysis capabilities."
"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."
"Requires more development."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"I would like see more programming languages added, like MATLAB. That would be better."
"It would be good if IBM added help resources to the interface."
"I think mapping for geographic data would also be a really great thing to be able to use."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"The platform's cloud version needs improvements."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"There is a learning curve; it's not very steep, but there is one."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"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."
"The solution needs more planning tools and capabilities."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"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."
"This solution is not suitable for use with Big Data."
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 Microsoft Power BI, KNIME, RapidMiner, Alteryx and SAS Visual Analytics, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and Oracle Advanced Analytics. See our IBM SPSS Modeler vs. IBM SPSS Statistics report.
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