IBM SPSS Statistics vs SAS Enterprise Miner

IBM SPSS Statistics is ranked 3rd in Data Mining with 4 reviews vs SAS Enterprise Miner which is ranked 4th 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, KNIME and TIBCO Spotfire S+. SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and FICO Model Builder.
Cancel
You must select at least 2 products to compare!
+Add products to compare
Most Helpful Review
Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
254,138 professionals have used our research since 2012.

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.

Read more »

Information Not Available
Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
254,138 professionals have used our research since 2012.
Ranking
RANKING
Views
4,693
Comparisons
3,724
Reviews
4
Followers
397
Avg. Rating
6.8
Views
5,657
Comparisons
4,102
Reviews
1
Followers
455
Avg. Rating
7.0
Top Comparisons
Top Comparisons
Uimhresp 400x400
Compared 6% of the time.
See more IBM SPSS Statistics competitors »
Uimhresp 400x400
Compared 10% of the time.
See more SAS Enterprise Miner competitors »
Also Known As
Also Known AsSPSS StatisticsEnterprise Miner
Website/Video
Website/VideoIBM
  • Vendor 7400 screenshot 1514653938
SAS
  • Vendor 7934 screenshot 1515259222
OverviewQuestionmark icon
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.
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 IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
17%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
VISITORS READING REVIEWS
Financial Services Firm
29%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company SizeQuestionmark icon
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
25%
Large Enterprise
57%
Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
Download now
254,138 professionals have used our research since 2012.
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.

Sign Up with Email