We performed a comparison between IBM SPSS Statistics and Oracle Advanced Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."SPSS is quite robust and quicker in terms of providing you the output."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"It offers very good visualization."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"IBM SPSS Statistics depends on AI."
"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."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The design of the experience can be improved."
"It could provide even more in the way of automation as there are many opportunities."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"The solution needs to improve forecasting using time series analysis."
"The technical support should be improved."
"The reports could be better."
"There are some transactions we have not been able to find through the dashboard."
"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."
Earn 20 points
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 8.0. 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 Databricks, whereas Oracle Advanced Analytics is most compared with Weka.
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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.
