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."Automation is great and this product is very organized."
"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"We have full control of the data handling process."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"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."
"It is very scalable for non-technical people."
"It works fine. I have not had any stability issues; it is always up."
"IBM SPSS Statistics depends on AI."
"You can quickly build models because it does the work for you."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"in terms of the simplicity, I think the SPSS basic can handle it."
"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."
"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."
"Most of the product features are good but I particularly like the linear regression analysis."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The challenge for the very technical data scientists: It is constraining for them."
"The product does not have a search function for tags."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"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."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"Unstructured data is not appropriate for SPSS Modeler."
"The forecasting could be a bit easier."
"The solution needs more planning tools and capabilities."
"The solution needs to improve forecasting using time series analysis."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"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."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"It could provide even more in the way of automation as there are many opportunities."
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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