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IBM SPSS Statistics vs SAS Enterprise Miner comparison

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Featured Review
Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: January 2022.
564,322 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 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.""In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions.""You can quickly build models because it does the work for you.""Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.""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.""The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.""It is a modeling tool with helpful automation.""SPSS is quite robust and quicker in terms of providing you the output."

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"Good data management and analytics.""The technical support is very good.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""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.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering.""Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them.""It could provide even more in the way of automation as there are many opportunities.""I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input.""SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer.""The technical support should be improved.""The solution needs more planning tools and capabilities.""One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

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"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 ease of use can be improved. When you are new it seems a bit complex.""Technical support could be improved.""The solution is much more complex than other options.""The visualization of the models is not very attractive, so the graphics should be improved.""The initial setup is challenging if doing it for the first time."

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Pricing and Cost Advice
  • "The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
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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."
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    Questions from the Community
    Top Answer: 
    SPSS is quite robust and quicker in terms of providing you the output.
    Top Answer: 
    You can download it for free, but if you want to enable the professional features, you can buy one license if that's all you need. But if you have many collaborators and want to add more contributors… more »
    Top Answer: 
    From an improvement standpoint, I could compare to PyCharm and see how many other things you can automate things. In PyCharm you use Python and have a lot of packages. SPSS is missing out on some of… more »
    Top Answer: 
    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… more »
    Top Answer: 
    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.
    Top Answer: 
    One improvement I would suggest is the compatibility with Microsoft SQL and to improve all communications to the solution. For a future release, I would like for the solution to be combined with other… more »
    Ranking
    2nd
    out of 16 in Data Mining
    Views
    4,224
    Comparisons
    3,300
    Reviews
    13
    Average Words per Review
    716
    Rating
    8.0
    5th
    out of 16 in Data Mining
    Views
    2,737
    Comparisons
    2,139
    Reviews
    6
    Average Words per Review
    390
    Rating
    7.7
    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
    University38%
    Financial Services Firm19%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company17%
    Educational Organization13%
    Government8%
    REVIEWERS
    Financial Services Firm57%
    Media Company14%
    Retailer14%
    University14%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider16%
    Financial Services Firm12%
    Government7%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    REVIEWERS
    Small Business25%
    Midsize Enterprise33%
    Large Enterprise42%
    Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: January 2022.
    564,322 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 2nd in Data Mining with 12 reviews while SAS Enterprise Miner is ranked 5th in Data Mining with 6 reviews. IBM SPSS Statistics is rated 8.2, while SAS Enterprise Miner is rated 7.6. 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 GUI, an easy initial setup, and very flexible". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, Alteryx, TIBCO Statistica and Microsoft Azure Machine Learning Studio, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, RapidMiner, SAS Analytics and KNIME. See our IBM SPSS Statistics vs. SAS Enterprise Miner report.

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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.