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."We have a local representative who specializes in SPSS. He will help us do the PoC."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"It is very scalable for non-technical people."
"The visual modeling capability is one of its attractive features."
"The supervised models are valuable. It is also very organized and easy to use."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"We are using it either for workforce deployment or to improve our operations."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"The most valuable feature is its robust statistical analysis capabilities."
"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."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"It offers very good visualization."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"It's not as user friendly as it could be."
"The product does not have a search function for tags."
"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."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"C&DS will not meet our scalability needs."
"Requires more development."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"The solution needs to improve forecasting using time series analysis."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"Needs more statistical modelling functions."
"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."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"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."
"The design of the experience can be improved."
"The reports could be better."
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.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
