SAP KXEN [EOL] vs SAS Enterprise Miner comparison

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Executive Summary

We performed a comparison between SAP KXEN [EOL] and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
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
Information Not Available
  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    Top Answer:I like the way the product visually shows the data pipeline.
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pricing… more »
    Top Answer:The product must provide better integration with cloud-native technologies.
    Ranking
    Unranked
    In Data Mining
    6th
    out of 18 in Data Mining
    Views
    528
    Comparisons
    430
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    KXEN
    Enterprise Miner
    Learn More
    SAP
    Video Not Available
    Overview

    Predictive Analytics

    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
    Sample Customers
    ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    No Data Available
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University13%
    Educational Organization9%
    Insurance Company7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    Buyer's Guide
    Data Mining
    March 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    SAP KXEN [EOL] doesn't meet the minimum requirements to be ranked in Data Mining while SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews. SAP KXEN [EOL] is rated 0.0, while SAS Enterprise Miner is rated 7.6. The top reviewer of SAP KXEN [EOL] writes "First Look: KXEN’s Cloud-Based Predictive Offers". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". SAP KXEN [EOL] is most compared with , whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and SAS Analytics.

    See our list of best Data Mining vendors.

    We monitor all Data Mining 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.