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 gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."
"The supervised models are valuable. It is also very organized and easy to use."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"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."
"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"Stability is good."
"So far, the stability has been rock solid."
"It's a very organized product. It's 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."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"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."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"The platform's cloud version needs improvements."
"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."
"C&DS will not meet our scalability needs."
"We have run into a few problems doing some entity matching/analytics."
"It's not as user friendly as it could be."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"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."
"The technical support should be improved."
"This solution is not suitable for use with Big Data."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"The solution needs to improve forecasting using time series analysis."
"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."
"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."
IBM SPSS Modeler is ranked 4th in Data Mining with 6 reviews while IBM SPSS Statistics is ranked 3rd in Data Mining with 9 reviews. IBM SPSS Modeler is rated 8.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of IBM SPSS Modeler writes "Useful visual programming, minimal configuration required, and overall powerful". On the other hand, the top reviewer of IBM SPSS Statistics writes "Includes full ANOVA and multiple ANOVA capabilities but limited graphical capabilities". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, Alteryx and Microsoft Azure Machine Learning Studio, 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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