"Very good data aggregation."
"Automation is great and this product is very organized."
"It is a great product for running statistical analysis."
"The supervised models are valuable. It is also very organized and easy to use."
"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."
"IBM Watson Studio consistently automates across channels."
"It has a lot of data connectors, which is extremely helpful."
"It would be good if IBM added help resources to the interface."
"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."
"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."
"Dimension reduction should be classified separately."
"Requires more development."
"The initial setup was complex."
"Some of the solutions are really good solutions but they can be a little too costly for many."
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.
IBM SPSS Modeler is ranked 7th in Data Science Platforms with 5 reviews while IBM Watson Studio is ranked 12th in Data Science Platforms with 2 reviews. IBM SPSS Modeler is rated 8.4, while IBM Watson Studio is rated 8.0. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of IBM Watson Studio writes "Integrates consistently across your digital channel when trying to build an end-to-end digital platform". IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, Alteryx, Microsoft BI and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Google Cloud Datalab, Amazon SageMaker, Databricks and Anaconda. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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