Compare IBM SPSS Statistics vs. IBM Smart Analytics

IBM Smart Analytics is ranked 7th in Data Mining with 1 review while IBM SPSS Statistics is ranked 5th in Data Mining with 5 reviews. IBM Smart Analytics is rated 7.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of IBM Smart Analytics writes "Adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points. The visual presentation layer of LA is less than cutting edge". On the other hand, the top reviewer of IBM SPSS Statistics writes "Anomaly detection, with a useful algorithm handbook, but it's not scalable". IBM Smart Analytics is most compared with , whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka.
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Most Helpful Review
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384,147 professionals have used our research since 2012.
Quotes From Members

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Pricing and Cost Advice
Information Not Available
We think that IBM SPSS is expensive for this function.Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.

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Ranking
7th
out of 16 in Data Mining
Views
144
Comparisons
70
Reviews
1
Average Words per Review
440
Avg. Rating
7.0
5th
out of 16 in Data Mining
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
Top Comparisons
Compared 11% of the time.
Also Known As
Smart AnalyticsSPSS Statistics
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IBM
IBM
Overview
The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: December 2019.
384,147 professionals have used our research since 2012.
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.
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