Compare IBM SPSS Statistics vs. IBM Watson Explorer

IBM SPSS Statistics is ranked 2nd in Data Mining with 12 reviews while IBM Watson Explorer is ranked 5th in Data Mining with 1 review. IBM SPSS Statistics is rated 8.0, while IBM Watson Explorer is rated 8.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of IBM Watson Explorer writes "Facilitates utilizing data streams that we haven't tapped into, and producing results that are tremendously useful, company-wide". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, MathWorks Matlab, TIBCO Statistica and IBM Watson Studio, whereas IBM Watson Explorer is most compared with SAS Analytics, IBM Cognos, Microsoft BI, Tableau and IBM SPSS Modeler.
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Most Helpful Review
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Pricing and Cost Advice
The price of this solution is a little bit high, which was a problem for my company.We think that IBM SPSS is expensive for this function.

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430,988 professionals have used our research since 2012.
Ranking
2nd
out of 16 in Data Mining
Views
3,637
Comparisons
2,894
Reviews
12
Average Words per Review
714
Avg. Rating
7.9
5th
out of 16 in Data Mining
Views
1,686
Comparisons
890
Reviews
1
Average Words per Review
931
Avg. Rating
8.0
Popular Comparisons
Compared 14% of the time.
Compared 37% of the time.
Compared 11% of the time.
Compared 10% of the time.
Compared 9% of the time.
Also Known As
SPSS StatisticsIBM WEX
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IBM
IBM
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.

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

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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-TILDARIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company24%
K 12 Educational Company Or School17%
Comms Service Provider12%
Media Company9%
VISITORS READING REVIEWS
Computer Software Company33%
Government15%
Comms Service Provider13%
K 12 Educational Company Or School7%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2020.
430,988 professionals have used our research since 2012.

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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.