We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"It's relatively simple to create basic dashboards and reports."
"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."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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."
"$10,000 per annum for an enterprise license."
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.
SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.
The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.
IBM SPSS Modeler is ranked 3rd in Data Mining with 5 reviews while SAS Visual Analytics is ranked 11th in Business Intelligence (BI) Tools with 1 review. IBM SPSS Modeler is rated 8.4, while SAS Visual Analytics 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 SAS Visual Analytics writes "Very powerful, relatively simple to create basic dashboards and reports". IBM SPSS Modeler is most compared with KNIME, IBM Watson Studio, IBM SPSS Statistics and Alteryx, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI, Databricks, Qlik Sense and Dataiku Data Science Studio.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.