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."It's a very organized product. It's easy to use."
"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"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."
"Compared to other tools, the product works much easier to analyze data without coding."
"Automated modelling, classification, or clustering are very useful."
"It is very scalable for non-technical people."
"The supervised models are valuable. It is also very organized and easy to use."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"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."
"The most valuable feature is the user interface because you don't need to write code."
"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."
"IBM SPSS Statistics depends on AI."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"Requires more development."
"It is not integrated with Qlik, Tableau, and Power BI."
"The time series should be improved."
"The standard package (personal) is not supported for database connection."
"I think mapping for geographic data would also be a really great thing to be able to use."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"I can say the solution is outdated."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"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 needs more planning tools and capabilities."
"The technical support should be improved."
"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 Oracle Advanced Analytics. See our IBM SPSS Modeler vs. IBM SPSS Statistics report.
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