Compare FICO Model Builder vs. SAS Enterprise Miner

FICO Model Builder is ranked 11th in Data Mining while SAS Enterprise Miner is ranked 7th in Data Mining with 1 review. FICO Model Builder is rated 0, while SAS Enterprise Miner is rated 7.0. On the other hand, the top reviewer of SAS Enterprise Miner writes "Scalable and stable, but needs a better user interface". FICO Model Builder is most compared with Weka, SAS Enterprise Miner and SAS Analytics, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME.
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378,570 professionals have used our research since 2012.
Ranking
11th
out of 16 in Data Mining
Views
335
Comparisons
242
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
7th
out of 16 in Data Mining
Views
4,863
Comparisons
3,675
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 33% of the time.
Compared 22% of the time.
Compared 11% of the time.
Compared 8% of the time.
Also Known As
Model BuilderEnterprise Miner
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FICO
SAS
Overview
FICO Model Builder accelerates the modeling lifecycle, with capabilities to explore and analyze data of any size or complexity, including massive volumes of unstructured and text-based information. It enables you to create new predictive variables, build, evaluate and document models, generate scores and seamlessly deploy models into production.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
Tarjetas CencosudGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: November 2019.
378,570 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.
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