IBM SPSS Statistics vs SAS Enterprise Miner

IBM SPSS Statistics is ranked 4th in Data Mining with 4 reviews vs SAS Enterprise Miner which is ranked 3rd in Data Mining with 1 review. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". IBM SPSS Statistics is most compared with IBM SPSS Modeler, 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 Statistics 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
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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288,186 professionals have used our research since 2012.
Ranking
RANKING
Views
5,028
Comparisons
3,720
Reviews
4
Followers
341
Avg. Rating
6.8
Views
6,312
Comparisons
4,180
Reviews
1
Followers
396
Avg. Rating
7.0
Top Comparisons
Top Comparisons
Compared 5% of the time.
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Compared 15% of the time.
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Also Known As
Also Known AsSPSS StatisticsEnterprise Miner
Website/Video
Website/VideoIBM
SAS
Overview
OverviewYour 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.
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Sample Customers
Sample CustomersLDB 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
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
18%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
VISITORS READING REVIEWS
Financial Services Firm
30%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company Size
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business
19%
Midsize Enterprise
25%
Large Enterprise
56%
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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.

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