Anonymous UserContracts Manager at a program development consultancy
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The scalability of the solution is good; I'd rate it four out of five."
"Very good data aggregation."
"It is a great product for running statistical analysis."
"Automation is great and this product is very organized."
"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."
"The supervised models are valuable. It is also very organized and easy to use."
"The predictive analysis feature needs improvement."
"Requires more development."
"It would be good if IBM added help resources to the interface."
"Dimension reduction should be classified separately."
"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."
"This tool, being an IBM product, is pretty expensive."
"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
Earn 20 points
Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.
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.
Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. Domino Data Science Platform is rated 7.0, while IBM SPSS Modeler is rated 8.4. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Modeler is most compared with Alteryx, IBM SPSS Statistics, KNIME, IBM Watson Studio and Microsoft Azure Machine Learning Studio.
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