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Angoss KnowledgeENTERPRISE [EOL] vs IBM SPSS Modeler vs SAS Enterprise Miner comparison

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Angoss KnowledgeENTERPRISE [EOL]

views| comparisons
IBM Logo

IBM SPSS Modeler

Read 38 IBM SPSS Modeler reviews
3,192 views|2,511 comparisons
85% willing to recommend
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SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews
1,119 views|911 comparisons
93% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between Angoss KnowledgeENTERPRISE [EOL], IBM SPSS Modeler, and SAS Enterprise Miner 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).
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767,667 professionals have used our research since 2012.
Featured Review
Use Angoss KnowledgeENTERPRISE [EOL]?
Giovanni Cervellati
A stable product that provides fast and accurate analytics
Shilpa Prakash
Researched IBM SPSS Modeler but chose SAS Enterprise Miner: Good stability, very good data analysis tool pack and excellent documentation
It's a VSL service provider, so improvement to an organization depends on how the client designs the implementation for the plan. Clients would be... Read more →
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
  • "Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."
  • "If you are in a university and the license is free then you can use the tool without any charges, which is good."
  • "It is a huge increase to time savings."
  • "The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."
  • "When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."
  • "It got us a good amount of money with quick and efficient modeling."
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."

    • More IBM SPSS Modeler 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
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    What do you like most about IBM SPSS Modeler?
    Top Answer:Compared to other tools, the product works much easier to analyze data without coding.
    Read all 15 answers   →
    What is your experience regarding pricing and costs for IBM SPSS Modeler?
    Top Answer:It is an expensive product.
    Read all 11 answers   →
    What needs improvement with IBM SPSS Modeler?
    Top Answer:The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be… more »
    Read all 17 answers   →
    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… 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   →
    Ranking
    Unranked
    In Data Science Platforms
    12th
    out of 53 in Data Science Platforms
    Views
    3,192
    Comparisons
    2,511
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    15th
    out of 53 in Data Science Platforms
    Views
    1,119
    Comparisons
    911
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    KnowledgeENTERPRISE, Datawatch Angoss, Angoss KnowledgeENTERPRISE
    SPSS Modeler
    Enterprise Miner
    Learn More
    Altair
    IBM
    Video Not Available
    SAS
    Overview

    KnowledgeENTERPRISE is a comprehensive data science platform that is integrated with Spark technology to provide unprecedented analytics and data processing capabilities. Its in-place analysis capability on distributed data eliminates data movement and allows users to stay within their Big Data environments.

    This single, fully-integrated software solution enables access to open source machine-learning libraries, Big Data technologies, collaboration and governance features, comprehensive advanced analytics functionality, and numerous deployment options allowing users to overcome challenges in Big Data ingestion, access, and results interpretation. 

    IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

    Buy
    https://www.ibm.com/products/spss-modeler/pricing
     
    Sign up for the trial
    https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


    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
    Barclays, ANZ, Fidelity, Comcast, Rogers, T-Mobile, DirecTV
    Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    No Data Available
    REVIEWERS
    University23%
    Financial Services Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    University12%
    Educational Organization8%
    Insurance Company7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise70%
    Buyer's Guide
    Data Science Platforms
    April 2024
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