SAS Enterprise Miner vs SAS Visual Analytics

SAS Enterprise Miner is ranked 7th in Data Science Platforms with 1 review vs SAS Visual Analytics which is ranked 1st in Data Science Platforms with 1 review. The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". The top reviewer of SAS Visual Analytics writes "the best tool for insightful and analytical dashboard development and reporting". SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and FICO Model Builder. SAS Visual Analytics is most compared with Tableau, Microsoft BI and QlikView.
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Quotes From Members Comparing SAS Enterprise Miner vs SAS Visual Analytics

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

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Ranking
RANKING
Views
5,657
Comparisons
4,102
Reviews
1
Followers
455
Avg. Rating
7.0
Views
31,827
Comparisons
22,255
Reviews
5
Followers
2,362
Avg. Rating
7.3
Top Comparisons
Top Comparisons
Uimhresp 400x400
Compared 10% of the time.
See more SAS Enterprise Miner competitors »
Itmwdql1 400x400
Compared 21% of the time.
Qlikview
Compared 7% of the time.
See more SAS Visual Analytics competitors »
Also Known As
Also Known AsEnterprise MinerSAS BI
Website/Video
Website/VideoSAS
  • Vendor 7934 screenshot 1515259222
SAS
  • Vendor 7934 screenshot 1515259222
OverviewQuestionmark icon
OverviewSAS 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.

SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

Sample Customers
Sample CustomersGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, InvacareStaples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
29%
University
11%
Non Tech Company
11%
Insurance Company
7%
REVIEWERS
Financial Services Firm
20%
Mining And Metals Company
10%
Insurance Company
10%
Government
10%
VISITORS READING REVIEWS
Financial Services Firm
23%
University
9%
Insurance Company
7%
Government
7%
Company SizeQuestionmark icon
Company Size
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
25%
Large Enterprise
57%
REVIEWERS
Small Business
25%
Midsize Enterprise
13%
Large Enterprise
63%
VISITORS READING REVIEWS
Small Business
12%
Midsize Enterprise
24%
Large Enterprise
64%

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We monitor all Data Science Platforms 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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