IBM Smart Analytics vs Lytics

IBM Smart Analytics is ranked 9th in Data Mining with 1 review vs Lytics which is ranked 16th 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. Lytics is most compared with Oracle Advanced Analytics, KNIME and IBM SPSS Statistics.
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Most Helpful Review
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Quotes From Members Comparing IBM Smart Analytics vs Lytics

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
270,647 professionals have used our research since 2012.
Ranking
RANKING
Views
783
Comparisons
184
Reviews
1
Followers
238
Avg. Rating
7.0
Views
221
Comparisons
105
Reviews
0
Followers
208
Avg. Rating
N/A
Top Comparisons
Top Comparisons
Sas
Compared 20% of the time.
See more IBM Smart Analytics competitors »
Jt hjyjg 400x400
Compared 32% of the time.
Uimhresp 400x400
Compared 15% of the time.
Ibm
Compared 9% of the time.
See more Lytics competitors »
Also Known As
Also Known AsSmart Analytics
Website/Video
Website/VideoIBM
  • Vendor 7400 screenshot 1524637054
Lytics
  • Vendor 29069 screenshot 1524954112
OverviewQuestionmark icon
OverviewThe 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.All Your Customer Data. Together.
OFFER
Learn more about IBM Smart Analytics
Learn more about Lytics
Sample Customers
Sample CustomersWIdO AOK, EEKA Fashion, SSGC, GS RetailNestle, R/GA, DIRECTV, The Clymb, Cond_ Nast
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Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
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270,647 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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