Compare IBM SPSS Statistics vs. Lytics

IBM SPSS Statistics is ranked 5th in Data Mining with 4 reviews while Lytics is ranked 14th in Data Mining. IBM SPSS Statistics is rated 7.8, while Lytics is rated 0. The top reviewer of IBM SPSS Statistics writes "Anomaly detection, with a useful algorithm handbook, but it's not scalable". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka and MathWorks Matlab, whereas Lytics is most compared with .
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IBM SPSS Statistics Logo
3,443 views|2,839 comparisons
Lytics Logo
98 views|13 comparisons
Most Helpful Review
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: November 2019.
383,162 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
We think that IBM SPSS is expensive for this function.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.

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383,162 professionals have used our research since 2012.
Ranking
5th
out of 16 in Data Mining
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
14th
out of 16 in Data Mining
Views
98
Comparisons
13
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 11% of the time.
Also Known As
SPSS Statistics
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Lytics
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Overview
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.All Your Customer Data. Together.
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Sample Customers
LDB 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-TILDANestle, R/GA, DIRECTV, The Clymb, Cond_ Nast
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: November 2019.
383,162 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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