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IBM SPSS Statistics vs SAS Enterprise Miner comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Statistics and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM SPSS Statistics vs. SAS Enterprise Miner report (Updated: September 2022).
632,611 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.""SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.""The most valuable features are the small learning curve and its ability to hold a lot of data.""You can quickly build models because it does the work for you.""SPSS is quite robust and quicker in terms of providing you the output.""The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.""The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

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"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.""The technical support is very good."

More SAS Enterprise Miner Pros →

Cons
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering.""I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.""There is a learning curve; it's not very steep, but there is one.""SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer.""SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous.""The technical support should be improved.""IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.""I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

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"The solution is much more complex than other options.""The initial setup is challenging if doing it for the first time."

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Pricing and Cost Advice
  • "It's quite expensive, but they do a special deal for universities."
  • "The price of IBM SPSS Statistics could improve."
  • "SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
  • More IBM SPSS Statistics Pricing and Cost Advice →

  • "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."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    632,611 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the… more »
    Top Answer:IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.
    Top Answer:We'd prefer it if the solution was open source. That would make it less expensive.
    Top Answer:We really don't like the protocols the solution offers. The solution is much more complex than other options.
    Ranking
    2nd
    out of 15 in Data Mining
    Views
    4,487
    Comparisons
    3,182
    Reviews
    10
    Average Words per Review
    664
    Rating
    8.4
    8th
    out of 15 in Data Mining
    Views
    2,322
    Comparisons
    1,818
    Reviews
    2
    Average Words per Review
    400
    Rating
    6.5
    Comparisons
    Also Known As
    SPSS Statistics
    Enterprise Miner
    Learn More
    Overview
    Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
    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.
    Offer
    Learn more about IBM SPSS Statistics
    Learn more about SAS Enterprise Miner
    Sample Customers
    LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    REVIEWERS
    University44%
    Financial Services Firm17%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider23%
    Educational Organization12%
    Computer Software Company11%
    Government9%
    REVIEWERS
    Financial Services Firm57%
    Media Company14%
    Retailer14%
    University14%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company14%
    Comms Service Provider10%
    Government7%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise20%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise17%
    Large Enterprise66%
    REVIEWERS
    Small Business25%
    Midsize Enterprise33%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    IBM SPSS Statistics vs. SAS Enterprise Miner
    September 2022
    Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: September 2022.
    632,611 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 2nd in Data Mining with 10 reviews while SAS Enterprise Miner is ranked 8th in Data Mining with 2 reviews. IBM SPSS Statistics is rated 8.6, while SAS Enterprise Miner is rated 6.6. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Alteryx, Microsoft Azure Machine Learning Studio, Weka and TIBCO Statistica, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, RapidMiner and TIBCO Data Science. See our IBM SPSS Statistics vs. SAS Enterprise Miner report.

    See our list of best Data Mining vendors and best Data Science Platforms vendors.

    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.