SAS Analytics Competitors and Alternatives

Read reviews of SAS Analytics competitors and alternatives
Real User
Unit Manager at a insurance company with 1,001-5,000 employees
Mar 20 2018

What is most valuable?

In the future, SPSS and Cognos Analytics will be integrated. We will be using the two products together. We have not yet used IBM SPSS Modeler for governance and security issues.

How has it helped my organization?

Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to... more»

What needs improvement?

It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler. We don't need that now, but in the future it may be useful.
Real User
Data Scientist at a tech services company with 1,001-5,000 employees
Mar 18 2018

What do you think of KNIME?

Primary Use Case We have used KNIME for text processing, specifically for leveraging the text processing features for entity extraction, document classification, relationship extraction, and other such NLP tasks. • Improvements to My Organization We are far from reaping the benefits of this platform as an organization. However, so far, we have been able to appreciate the considerable reduction in prototyping time. • Valuable Features The most useful features are the readily available extensions that speed up the work. For instance, KNIME offers multiple document taggers, which one can use with relative ease. Similarly, the number of predefined NER taggers are also very handy. • Room for Improvement The documentation needs a proper rework.  • Use of Solution Less...
Real User
Manager of Data Analytics
Jan 15 2018

What do you think of IBM SPSS Statistics?

Improvements to My Organization 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. • Valuable Features Merge, Aggregation, and Crosstabs functions are most valuable when I'm performing data preparation. Statistical modelling functions within this product, such as Regression and PCA function, are also useful.  The point-and-click interface is user-friendly. • Room for Improvement Needs more statistical modelling functions. • Use of Solution More than five years. • Stability Issues Not applicable. • Scalability Issues Not applicable. • Customer Service and Technical Support Good. • Initial Setup Setup was straightforward. My...

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