SAP Predictive Analytics vs SAS Enterprise Miner comparison

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Executive Summary

We performed a comparison between SAP Predictive Analytics and SAS Enterprise Miner based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I think the features of the actual ability to forecast and pull trends and correlations has been really good.""The most valuable features are the analytics and reporting."

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"The most valuable feature is the decision tree creation.""I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully.""The solution is very good for data mining or any mining issues.""The setup is straightforward. Deployment doesn't take more than 30 minutes.""Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.""he solution is scalable."

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Cons
"This solution works for acquired data but not live, real-time data."

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"The solution is much more complex than other options.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""The initial setup is challenging if doing it for the first time.""Virtualization could be much better.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.""The product must provide better integration with cloud-native technologies.""The visualization of the models is not very attractive, so the graphics should be improved.""The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."

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Pricing and Cost Advice
  • "A free trial version is available for testing out this solution."
  • "The pricing is reasonable"
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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
    24th
    Views
    520
    Comparisons
    455
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    Views
    1,162
    Comparisons
    944
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
    Enterprise Miner
    Learn More
    Overview

    SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

    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
    mBank
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm12%
    Educational Organization12%
    Comms Service Provider9%
    University9%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University13%
    Educational Organization9%
    Insurance Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise75%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    SAP Predictive Analytics is ranked 24th in Data Science Platforms while SAS Enterprise Miner is ranked 14th in Data Science Platforms with 13 reviews. SAP Predictive Analytics is rated 8.6, while SAS Enterprise Miner is rated 7.6. The top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". 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 Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, KNIME, Domino Data Science Platform and IBM SPSS Modeler, 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 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.