Pitney Bowes Portrait vs SAS Enterprise Miner comparison

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Pitney Bowes Logo
20 views|14 comparisons
0% willing to recommend
SAS Logo
509 views|416 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Pitney Bowes Portrait and SAS Enterprise Miner based on real PeerSpot user reviews.

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To learn more, read our detailed Data Mining Report (Updated: March 2024).
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Featured Review
Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "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
    15th
    out of 18 in Data Mining
    Views
    20
    Comparisons
    14
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    6th
    out of 18 in Data Mining
    Views
    509
    Comparisons
    416
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    Enterprise Miner
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    Overview
    Pitney Bowes Portrait is a specialized platform that empowers your organization to develop and execute the provisioning and fulfillment processes that result from marketing and CRM activity. Now, you can automate, extend and evolve your existing environment for newfound levels of closed loop automation and efficiency Ð all in just a fraction of the time and effort of other CRM systems.
    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
    Nationwide
    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 Firm23%
    University12%
    Educational Organization8%
    Insurance Company7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business19%
    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.
    767,667 professionals have used our research since 2012.

    Pitney Bowes Portrait is ranked 15th in Data Mining while SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews. Pitney Bowes Portrait is rated 0.0, while SAS Enterprise Miner is rated 7.6. The top reviewer of Pitney Bowes Portrait writes "First Look – Pitney Bowes Software update". 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". Pitney Bowes Portrait 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.

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    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.