Context Relevant [EOL] vs IBM SPSS Predictive Web Analytics comparison

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Ranking
Unranked
In Customer Data Analysis
8th
Views
44
Comparisons
26
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
SPSS Predictive Web Analytics
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eSentire
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Overview
Predictive analytics for big data.
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.
Sample Customers
Good Harbor, Bloomberg
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Reiseburo Idealtours GmbH, Western Sydney University, Razorsight, Si.mobil

Context Relevant [EOL] doesn't meet the minimum requirements to be ranked in Customer Data Analysis while IBM SPSS Predictive Web Analytics is ranked 8th in Customer Data Analysis. Context Relevant [EOL] is rated 0.0, while IBM SPSS Predictive Web Analytics is rated 0.0. On the other hand, Context Relevant [EOL] is most compared with , whereas IBM SPSS Predictive Web Analytics is most compared with .

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