We performed a comparison between IBM SPSS Statistics and Oracle Advanced Analytics 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."The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"You can quickly build models because it does the work for you."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The most valuable feature is its robust statistical analysis capabilities."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"The technical support should be improved."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"Needs more statistical modelling functions."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"This solution is not suitable for use with Big Data."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"It could provide even more in the way of automation as there are many opportunities."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"There are some transactions we have not been able to find through the dashboard."
"One area for product improvement is the user experience, particularly when navigating through screens."
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IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining with 9 reviews. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 8.2. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Google Cloud Datalab, whereas Oracle Advanced Analytics is most compared with Weka. See our IBM SPSS Statistics vs. Oracle Advanced Analytics report.
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