FICO Decision Management vs SAS Enterprise Miner

FICO Decision Management is ranked 10th in Data Science Platforms with 1 review vs SAS Enterprise Miner which is ranked 8th in Data Science Platforms with 1 review. The top reviewer of FICO Decision Management writes "I would recommend buying this product for loan origination purposes". The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". FICO Decision Management is most compared with Experian PowerCurve and SAS Real-Time Decision Management. 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 FICO Decision Management vs SAS Enterprise Miner

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
1,345
Comparisons
845
Reviews
1
Followers
105
Avg. Rating
9.0
Views
6,142
Comparisons
4,218
Reviews
1
Followers
395
Avg. Rating
7.0
Top Comparisons
Top ComparisonsSee more FICO Decision Management competitors »
Compared 15% of the time.
See more SAS Enterprise Miner competitors »
Also Known As
Also Known AsEnterprise Miner
Website/Video
Website/VideoFICO
SAS
Overview
OverviewThe FICO Decision Management Suite provides an easy way for customers to evaluate, customize, deploy and scale state-of-the-art analytics and decision management solutions. It allows customers to quickly integrate FICO and FICO partner decision management tools and components with their own components, helping organizations of all sizes realize the promise of advanced analytics and decision management via cost effective, scalable cloud and on-premises solutions.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.
OFFER
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Sample Customers
Sample CustomersAiful, Raiffeisen Bank International AGGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
65%
Comms Service Provider
11%
Retailer
7%
Writing And Editing Position
5%
VISITORS READING REVIEWS
Financial Services Firm
29%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company Size
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
25%
Large Enterprise
57%
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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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