Compare SAP Predictive Analytics vs. SAS Visual Analytics

SAP Predictive Analytics is ranked 20th in Data Science Platforms while SAS Visual Analytics is ranked 17th in Business Intelligence (BI) Tools with 2 reviews. SAP Predictive Analytics is rated 0, while SAS Visual Analytics is rated 8.0. On the other hand, the top reviewer of SAS Visual Analytics writes "Easy to create a forecast, discover insights, but visualization needs work". SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics and SAS Enterprise Miner, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI and QlikView.
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Ranking
20th
Views
797
Comparisons
512
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Views
15,502
Comparisons
12,333
Reviews
2
Average Words per Review
214
Avg. Rating
8.0
Top Comparisons
Compared 41% of the time.
Compared 15% of the time.
Compared 7% of the time.
Also Known As
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPASAS BI
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SAP
SAS
Overview

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

Offer
Learn more about SAP Predictive Analytics
Learn more about SAS Visual Analytics
Sample Customers
mBankStaples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Top Industries
No Data Available
REVIEWERS
Financial Services Firm20%
Mining And Metals Company10%
Insurance Company10%
Government10%
VISITORS READING REVIEWS
Software R&D Company23%
Financial Services Firm13%
Government12%
Comms Service Provider8%
Find out what your peers are saying about Alteryx, IBM, Knime and others in Data Science Platforms. Updated: September 2019.
371,917 professionals have used our research since 2012.
We monitor all Data Science Platforms 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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