Domino Data Science Platform vs. SAS Enterprise Miner

Domino Data Science Platform is ranked 17th in Data Science Platforms vs SAS Enterprise Miner which is ranked 8th 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". Domino Data Science Platform is most compared with Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and IBM Watson Studio. 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 Domino Data Science Platform vs. SAS Enterprise Miner

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Ranking
RANKING
Views
827
Comparisons
595
Reviews
0
Followers
46
Avg. Rating
N/A
Views
6,533
Comparisons
4,150
Reviews
1
Followers
278
Avg. Rating
7.0
Top Comparisons
Top ComparisonsSee more Domino Data Science Platform competitors »
Compared 15% of the time.
See more SAS Enterprise Miner competitors »
Also Known As
Also Known AsDomino Data Lab PlatformEnterprise Miner
Website/Video
Website/VideoDomino Data Lab
SAS
Overview
Overview

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

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 SAS Enterprise Miner
Sample Customers
Sample CustomersAllstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, CarnivalGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
Top Industries
No Data Available
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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292,137 professionals have used our research since 2012.
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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