Compare IBM SPSS Statistics vs. SAS Enterprise Miner

IBM SPSS Statistics is ranked 2nd in Data Mining with 12 reviews while SAS Enterprise Miner is ranked 3rd in Data Mining with 8 reviews. IBM SPSS Statistics is rated 8.0, while SAS Enterprise Miner is rated 7.8. 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, MathWorks Matlab and TIBCO Statistica, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, KNIME and SAS Visual Data Mining and Machine Learning. See our IBM SPSS Statistics vs. SAS Enterprise Miner report.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: July 2020.
431,081 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.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 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.The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.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.The most valuable feature is the user interface because you don't need to write code.It has the ability to easily change any variable in our research.They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.

More IBM SPSS Statistics Pros »

The solution is able to handle quite large amounts of data beautifully.Good data management and analytics.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.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.The solution is very good for data mining or any mining issues.The setup is straightforward. Deployment doesn't take more than 30 minutes.

More SAS Enterprise Miner Pros »

Cons
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.It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that.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.The solution needs more planning tools and capabilities.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.This solution is not suitable for use with Big Data.The design of the experience can be improved.The product should provide more ways to import data and export results that are user-friendly for high-level executives.

More IBM SPSS Statistics Cons »

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.Technical support could be improved.The visualization of the models is not very attractive, so the graphics should be improved.The ease of use can be improved. When you are new it seems a bit complex.Virtualization could be much better.The solution needs an easier interface for the user. The user experience isn't so easy for our clients.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.The user interface of the solution needs improvement. It needs to be more visual.

More SAS Enterprise Miner Cons »

Pricing and Cost Advice
The price of this solution is a little bit high, which was a problem for my company.We think that IBM SPSS is expensive for this function.

More IBM SPSS Statistics Pricing and Cost Advice »

This solution is for large corporations because not everybody can afford it.

More SAS Enterprise Miner Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
431,081 professionals have used our research since 2012.
Ranking
2nd
out of 16 in Data Mining
Views
3,637
Comparisons
2,894
Reviews
12
Average Words per Review
714
Avg. Rating
7.9
3rd
out of 16 in Data Mining
Views
4,154
Comparisons
3,130
Reviews
8
Average Words per Review
389
Avg. Rating
7.8
Popular Comparisons
Compared 14% of the time.
Compared 13% of the time.
Compared 7% of the time.
Also Known As
SPSS StatisticsEnterprise Miner
Learn
IBM
SAS
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-TILDAGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company24%
K 12 Educational Company Or School17%
Comms Service Provider12%
Media Company9%
VISITORS READING REVIEWS
Computer Software Company35%
Media Company11%
Insurance Company8%
Financial Services Firm7%
Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: July 2020.
431,081 professionals have used our research since 2012.

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.