Compare SAS Visual Analytics vs. SAS Visual Data Mining and Machine Learning

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Quotes From Members

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

Pricing and Cost Advice
"$10,000 per annum for an enterprise license."

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Questions from the Community
Top Answer: It's relatively simple to create basic dashboards and reports.
Top Answer: We pay a little over $10,000 for an annual enterprise license. It gives us an unlimited number of users but we're questioning whether it's worth the cost if we can't get users on board. There is some… more »
Top Answer: The powerful nature of SAS can sometimes work to its detriment, because there is a need for coding when it comes to digital reporting and that's a little overwhelming or intimidating for some of my… more »
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Ranking
Views
9,943
Comparisons
8,597
Reviews
1
Average Words per Review
639
Rating
8.0
25th
Views
524
Comparisons
448
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
SAS BI
Visual Data Mining and Machine Learning
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Overview

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.

SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.

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Sample Customers
Staples, 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.
Information Not Available
Top Industries
REVIEWERS
Financial Services Firm18%
Retailer9%
Insurance Company9%
Transportation Company9%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider15%
Government10%
Financial Services Firm10%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider12%
Financial Services Firm10%
Government9%
Company Size
REVIEWERS
Small Business32%
Midsize Enterprise16%
Large Enterprise53%
No Data Available
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Business Intelligence (BI) Tools. Updated: September 2021.
534,299 professionals have used our research since 2012.

SAS Visual Analytics is ranked 10th in Business Intelligence (BI) Tools with 1 review while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. SAS Visual Analytics is rated 8.0, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of SAS Visual Analytics writes "Very powerful, relatively simple to create basic dashboards and reports". On the other hand, SAS Visual Analytics is most compared with Tableau, Microsoft BI, Qlik Sense, Databricks and Microsoft Azure Machine Learning Studio, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, Microsoft Azure Machine Learning Studio, WPS Analytics, KNIME and IBM Watson Studio.

We monitor all Business Intelligence (BI) Tools 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.