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Angoss KnowledgeENTERPRISE [EOL] vs IBM SPSS Modeler comparison

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Angoss KnowledgeENTERPRISE [EOL]

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IBM SPSS Modeler

Read 38 IBM SPSS Modeler reviews
3,192 views|2,511 comparisons
85% willing to recommend
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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between Angoss KnowledgeENTERPRISE [EOL] and IBM SPSS Modeler 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]?
Levi Dovillaire
The solution provides insights into the users’ data, but it is outdated and slow
It helps our customers who want to find some insights from their data.
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 →

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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 easier to log in and manage security levels. Additionally, it needs to be more… more »
    Read all 17 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
    Comparisons
    Also Known As
    KnowledgeENTERPRISE, Datawatch Angoss, Angoss KnowledgeENTERPRISE
    SPSS Modeler
    Learn More
    Altair
    IBM
    Video Not Available
    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


    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
    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%
    Company Size
    No Data Available
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Data Science Platforms
    April 2024
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    Angoss KnowledgeENTERPRISE [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Angoss KnowledgeENTERPRISE [EOL] is rated 0.0, while IBM SPSS Modeler is rated 8.0. On the other hand, the top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Angoss KnowledgeENTERPRISE [EOL] is most compared with Analance, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx.

    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.