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IBM SPSS Predictive Web Analytics vs OpenText Core comparison

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Ranking
8th
out of 17 in Customer Data Analysis
Views
44
Comparisons
26
Reviews
0
Average Words per Review
0
Rating
N/A
40th
out of 46 in Enterprise Content Management
Views
45
Comparisons
15
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
SPSS Predictive Web Analytics
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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.

OpenText™ Core is a SaaS content management solution delivering simple, agile and secure cloud-based content management. Core integrates into crucial business process applications, including SAP® S/4HANA Public Cloud, Salesforce and Microsoft® 365 to maximize employee productivity, accelerate business processes and enhance governance. 

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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IBM SPSS Predictive Web Analytics is ranked 8th in Customer Data Analysis while OpenText Core is ranked 40th in Enterprise Content Management. IBM SPSS Predictive Web Analytics is rated 0.0, while OpenText Core is rated 0.0. On the other hand, IBM SPSS Predictive Web Analytics is most compared with , whereas OpenText Core is most compared with .

We monitor all Customer Data Analysis 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.