Compare IBM SPSS Modeler vs. SAS Enterprise Miner

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Most Helpful Review
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Enterprise Miner and other solutions. Updated: September 2020.
441,850 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
"Automated modelling, classification, or clustering are very useful.""A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.""Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""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.""The most valuable feature is the decision tree creation.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"Customer support is hard to contact.""It is not integrated with Qlik, Tableau, and Power BI.""Expensive to deploy solutions. You need to buy an extra deployment unit.""Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."

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

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Pricing and Cost Advice
"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount.""It got us a good amount of money with quick and efficient modeling.""$5,000 annually.""This tool, being an IBM product, is pretty expensive."

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

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Questions from the Community
Top Answer: Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of… more »
Top Answer: I used IBM Modeler several years ago and found it to be effective, but expensive. Fortunately, it was for a commercially funded contract. For KNIME I have only used it for experimental purposes and… more »
Top Answer: The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
Top Answer: The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component… more »
Top Answer: The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
Ranking
3rd
out of 15 in Data Mining
Views
9,389
Comparisons
7,152
Reviews
5
Average Words per Review
368
Avg. Rating
7.4
4th
out of 15 in Data Mining
Views
3,941
Comparisons
2,986
Reviews
8
Average Words per Review
389
Avg. Rating
7.8
Popular Comparisons
Compared 16% of the time.
Compared 14% of the time.
Compared 4% of the time.
Compared 11% of the time.
Compared 8% of the time.
Also Known As
SPSS ModelerEnterprise Miner
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IBM
SAS
Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing
 
Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


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.
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Learn more about IBM SPSS Modeler
Learn more about SAS Enterprise Miner
Sample Customers
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis TurkeyGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
REVIEWERS
University20%
Financial Services Firm16%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider13%
K 12 Educational Company Or School9%
Government7%
VISITORS READING REVIEWS
Computer Software Company34%
Media Company9%
Insurance Company8%
Financial Services Firm7%
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Enterprise Miner and other solutions. Updated: September 2020.
441,850 professionals have used our research since 2012.
IBM SPSS Modeler is ranked 3rd in Data Mining with 6 reviews while SAS Enterprise Miner is ranked 4th in Data Mining with 8 reviews. IBM SPSS Modeler is rated 7.6, while SAS Enterprise Miner is rated 7.8. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". IBM SPSS Modeler is most compared with KNIME, Alteryx, IBM SPSS Statistics, IBM Watson Studio and Databricks, whereas SAS Enterprise Miner is most compared with RapidMiner, SAS Visual Analytics, Amazon SageMaker, KNIME and SAS Visual Data Mining and Machine Learning. See our IBM SPSS Modeler vs. SAS Enterprise Miner report.

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