SAP Predictive Analytics vs. SAS Visual Data Mining and Machine Learning

As of June 2019, SAP Predictive Analytics is ranked 11th in Data Science Platforms with 1 review vs SAS Visual Data Mining and Machine Learning which is ranked 21st in Data Science Platforms. The top reviewer of SAP Predictive Analytics writes "Recommended For Business Users Because It Hides The Complexity Of The Model". SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and IBM SPSS Statistics. SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, IBM Watson Studio and H2O.ai.
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Ranking
11th
Views
793
Comparisons
508
Reviews
1
Average Words per Review
486
Avg. Rating
9.0
21st
Views
721
Comparisons
554
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Also Known As
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPAVisual Data Mining and Machine Learning
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Overview

SAPĀ® 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 Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.

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Sample Customers
mBank
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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: June 2019.
347,894 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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