We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The supervised models are valuable. It is also very organized and easy to use."
"Very good data aggregation."
"Automation is great and this product is very organized."
"It is a great product for running statistical analysis."
"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 dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Dimension reduction should be classified separately."
"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."
"Requires more development."
"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 are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"This tool, being an IBM product, is pretty expensive."
"The solution is priced well."
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.
Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.
IBM SPSS Modeler is ranked 3rd in Data Mining with 5 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining with 3 reviews. IBM SPSS Modeler is rated 8.4, while Oracle Advanced Analytics is rated 8.6. 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 Oracle Advanced Analytics writes "Great ability to pull together multiple sources of information, simple for non-technical users ". IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Alteryx and Microsoft BI, whereas Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Statistics, Weka, OpenText Magellan Text Mining and KNIME. See our IBM SPSS Modeler vs. Oracle Advanced Analytics report.
See our list of best Data Mining vendors.
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.