IBM Smart Analytics vs TIBCO Spotfire S+

IBM Smart Analytics is ranked 9th in Data Mining with 1 review vs TIBCO Spotfire S+ which is ranked 13th in Data Mining. 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". IBM Smart Analytics is most compared with SAS Analytics, Oracle Advanced Analytics and IBM SPSS Statistics. TIBCO Spotfire S+ is most compared with IBM SPSS Statistics, KNIME and Oracle Advanced Analytics.
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Quotes From Members Comparing IBM Smart Analytics vs TIBCO Spotfire S+

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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Ranking
RANKING
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783
Comparisons
184
Reviews
1
Followers
238
Avg. Rating
7.0
Views
302
Comparisons
249
Reviews
0
Followers
240
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Top Comparisons
Top Comparisons
Sas
Compared 20% of the time.
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Uimhresp 400x400
Compared 14% of the time.
See more TIBCO Spotfire S+ competitors »
Also Known As
Also Known AsSmart AnalyticsSpotfire S+
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Website/VideoIBM
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TIBCO
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Overview
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The Spotfire S+ product family provides statisticians and quantitative analysts with a broad array of predictive analytic and statistical analysis tools for powerful and effective data analysis, including statistical graphics that can rapidly convey unique insights into your data. These tools can be rapidly customized and extended to match the specific considerations and analytic requirements of your business. These analytic applications can then be rapidly deployed to provide insight to your business decision makers, and integrated into repeatable, validated processes within your organization.
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Sample Customers
Sample CustomersWIdO AOK, EEKA Fashion, SSGC, GS RetailAllergan, AstraZeneca, Bank of Montreal, Bardess, Beeline, BUCS Analytics, Cargill ETM, CargoSmart, Cement Bloc, Cisco, Citibank Brazil, Dana Farber, eClinicalWorks, FrieslandCampina, Marks and Spencer, NetApp, NXP Semiconductors
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
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269,736 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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