IBM Smart Analytics vs. TIBCO Spotfire S+

As of February 2019, IBM Smart Analytics is ranked 8th in Data Mining with 1 review vs TIBCO Spotfire S+ which is ranked 12th 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 Weka and SAS Enterprise Miner. TIBCO Spotfire S+ is most compared with IBM SPSS Statistics, SAS Analytics and KNIME.
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316,473 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
12th
out of 16 in Data Mining
Views
355
Comparisons
137
Reviews
0
Followers
110
Avg. Rating
N/A
Top Comparisons
Compared 57% of the time.
Compared 35% of the time.
Compared 26% of the time.
Also Known As
Smart AnalyticsSpotfire S+
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IBM
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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Learn more about TIBCO Spotfire S+
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: February 2019.
316,473 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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