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

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Executive Summary

We performed a comparison between SAP Predictive Analytics and SAS Visual Data Mining and Machine Learning based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
767,319 professionals have used our research since 2012.
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "A free trial version is available for testing out this solution."
  • "The pricing is reasonable"
  • More SAP Predictive Analytics Pricing and Cost Advice →

    Information Not Available
    Ranking
    24th
    Views
    491
    Comparisons
    421
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    26th
    Views
    428
    Comparisons
    396
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    767,319 professionals have used our research since 2012.
    Comparisons
    Also Known As
    SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
    Visual Data Mining and Machine Learning
    Learn More
    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.

    Sample Customers
    mBank
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm12%
    Educational Organization12%
    Comms Service Provider9%
    University9%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Manufacturing Company10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise12%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    767,319 professionals have used our research since 2012.

    SAP Predictive Analytics is ranked 24th in Data Science Platforms while SAS Visual Data Mining and Machine Learning is ranked 26th in Data Science Platforms. SAP Predictive Analytics is rated 8.6, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". On the other hand, SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, Domino Data Science Platform, IBM SPSS Modeler and KNIME, whereas SAS Visual Data Mining and Machine Learning is most compared with Databricks, SAS Visual Analytics, SAS Enterprise Miner, Microsoft Azure Machine Learning Studio and Amazon SageMaker.

    See our list of best Data Science Platforms vendors.

    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.