Compare IBM Smart Analytics vs. TIBCO Spotfire S+

IBM Smart Analytics is ranked 7th in Data Mining with 1 review while TIBCO Spotfire S+ which is ranked 13th in Data Mining. IBM Smart Analytics is rated 7.0, while TIBCO Spotfire S+ is rated 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, IBM Smart Analytics is most compared with SAS Enterprise Miner, whereas TIBCO Spotfire S+ is most compared with KNIME and SAS Analytics.
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Ranking
7th
out of 16 in Data Mining
Views
846
Comparisons
100
Reviews
1
Average Words per Review
435
Avg. Rating
7.0
13th
out of 16 in Data Mining
Views
407
Comparisons
130
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 65% of the time.
Compared 35% of the time.
Also Known As
Smart AnalyticsSpotfire S+
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TIBCO
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.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
WIdO 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
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.
360,012 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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