IBM SPSS Modeler vs. SAS Enterprise Miner

IBM SPSS Modeler is ranked 1st in Data Mining with 22 reviews vs SAS Enterprise Miner which is ranked 3rd in Data Mining with 1 review. The top reviewer of IBM SPSS Modeler writes "Ease of use, the user interface, is the best part; the ability to customize streams with R and Python is useful". The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". IBM SPSS Modeler is most compared with IBM SPSS Statistics, SAS Enterprise Miner and KNIME. SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and Microsoft Azure Machine Learning Studio.
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Quotes From Members Comparing IBM SPSS Modeler vs. SAS Enterprise Miner

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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.The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool.It is a huge increase to time savings.If you are in a university and the license is free then you can use the tool without any charges, which is good.Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers.

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Ranking
RANKING
Views
11,053
Comparisons
7,601
Reviews
22
Followers
315
Avg. Rating
8.2
Views
6,728
Comparisons
4,118
Reviews
1
Followers
266
Avg. Rating
7.0
Top Comparisons
Top Comparisons
Compared 14% of the time.
See more IBM SPSS Modeler competitors »
Compared 15% of the time.
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Also Known As
Also Known AsSPSS ModelerEnterprise Miner
Website/Video
Website/VideoIBM
SAS
Overview
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.

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https://www.ibm.com/products/spss-modeler/pricing
 
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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
Sample CustomersReisebªro 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
Top Industries
REVIEWERS
Financial Services Firm
22%
Manufacturing Company
17%
Healthcare Company
11%
Government
11%
VISITORS READING REVIEWS
Financial Services Firm
24%
University
24%
Energy/Utilities Company
7%
Non Tech Company
7%
VISITORS READING REVIEWS
Financial Services Firm
30%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company Size
Company Size
REVIEWERS
Small Business
20%
Midsize Enterprise
10%
Large Enterprise
70%
VISITORS READING REVIEWS
Small Business
15%
Midsize Enterprise
15%
Large Enterprise
69%
VISITORS READING REVIEWS
Small Business
19%
Midsize Enterprise
25%
Large Enterprise
56%
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