Compare IBM SPSS Predictive Web Analytics vs. IBM Watson Commerce Insights

IBM SPSS Predictive Web Analytics is ranked 9th in Customer Data Analysis while IBM Watson Commerce Insights is ranked 1st in Customer Data Analysis with 1 review. IBM SPSS Predictive Web Analytics is rated 0, while IBM Watson Commerce Insights is rated 10.0. On the other hand, the top reviewer of IBM Watson Commerce Insights writes "The tool helps us get to our endgame faster". IBM SPSS Predictive Web Analytics is most compared with , whereas IBM Watson Commerce Insights is most compared with IBM Watson Customer Experience Analytics.
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Ranking
9th
Views
56
Comparisons
33
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
1st
Views
170
Comparisons
58
Reviews
1
Average Words per Review
135
Avg. Rating
10.0
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Also Known As
SPSS Predictive Web Analytics
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IBM
IBM
Overview
IBM SPSS Predictive Analytics Enterprise features descriptive and predictive analytics, data preparation and automation, and it provides analytics for structured and unstructured data from any source. The single solution enables you to apply statistical analysis, data mining, real-time scoring and decision management to human capital management, evidence-based medicine, crime prediction and prevention, supply chain analysis and more. It includes a deployment framework for integrating predictive intelligence with business rules and optimizing operational decisions.

IBM Watson Commerce Insights empowers merchandisers, product managers and marketers with powerful insights into how the business is performing and where to focus and take action. Through a contextual experience, business users are taking action based on informed online merchandising decisions to win business, build customer loyalty and drive profits.

Learn more: https://www.ibm.com/us-en/marketplace/omni-channel-commerce
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Sample Customers
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Reiseburo Idealtours GmbH, Western Sydney University, Razorsight, Si.mobil
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