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SAS Enterprise Miner vs Tom Sawyer Software Model-Based Engineering comparison

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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between SAS Enterprise Miner and Tom Sawyer Software Model-Based Engineering based on real PeerSpot user reviews.

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Featured Review
Anonymous User
A stable product that is easy to deploy and can be used for structured and unstructured data mining
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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
  • "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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    Questions from the Community
    What do you like most about SAS Enterprise Miner?
    Top Answer:I like the way the product visually shows the data pipeline.
    Read all 11 answers   →
    What is your experience regarding pricing and costs for SAS Enterprise Mi...
    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 »
    Read all 7 answers   →
    What needs improvement with SAS Enterprise Miner?
    Top Answer:The product must provide better integration with cloud-native technologies.
    Read all 11 answers   →
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    Earn 20 points

    Ranking
    15th
    out of 53 in Data Science Platforms
    Views
    1,119
    Comparisons
    911
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    44th
    out of 53 in Data Science Platforms
    Views
    29
    Comparisons
    21
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Enterprise Miner
    Learn More
    SAS
    Tom Sawyer Software
    Overview
    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.

    Generate and Customize MBSE Diagrams Instantly
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    Sample Customers
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Information Not Available
    Top Industries
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University12%
    Educational Organization8%
    Insurance Company7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    April 2024
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    SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews while Tom Sawyer Software Model-Based Engineering is ranked 44th in Data Science Platforms. SAS Enterprise Miner is rated 7.6, while Tom Sawyer Software Model-Based Engineering is rated 0.0. 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". On the other hand, SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and SAS Analytics, whereas Tom Sawyer Software Model-Based Engineering is most compared with .

    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.