IBM SPSS Statistics vs. IBM Smart Analytics

As of February 2019, IBM Smart Analytics is ranked 8th in Data Mining with 1 review vs IBM SPSS Statistics which is ranked 4th in Data Mining with 4 reviews. 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". The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". IBM Smart Analytics is most compared with Weka and SAS Enterprise Miner. IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka.
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Pricing and Cost Advice
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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.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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317,758 professionals have used our research since 2012.
Ranking
8th
out of 16 in Data Mining
Views
824
Comparisons
114
Reviews
1
Followers
105
Avg. Rating
7.0
4th
out of 16 in Data Mining
Views
5,912
Comparisons
3,629
Reviews
4
Followers
222
Avg. Rating
6.8
Top Comparisons
Compared 57% of the time.
Compared 9% 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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Learn more about IBM Smart Analytics
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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: February 2019.
317,758 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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