FICO Decision Management vs SAS Enterprise Miner comparison

FICO and SAS are both solutions in the Data Science Platforms category. FICO is ranked #27, while SAS is ranked #24. FICO holds a 1.4% mindshare in Data Science Platforms, compared to SAS’s 1.7% mindshare. Additionally, 100% of FICO users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

FICO Decision Management

Read 4 FICO Decision Management reviews

1,144 Views
652 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,291 Views
1,007 Comparison Views

93% willing to recommend

FICO Decision Management

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and FICO Decision Management compete in data analytics and decision management markets. SAS Enterprise Miner appears stronger in analytics features, whereas FICO Decision Management offers better decision-centric functionalities.

Features: SAS Enterprise Miner provides advanced data mining, predictive modeling, and statistical analysis. FICO Decision Management focuses on decision-making frameworks, business rule management, and optimization.

Ease of Deployment and Customer Service: SAS Enterprise Miner supports flexible deployment and extensive customer support. FICO Decision Management offers specific deployment methods tailored to decision features with specialized assistance.

Pricing and ROI: SAS Enterprise Miner's pricing reflects its analytic suite's value potential. FICO Decision Management, with higher initial cost, delivers substantial ROI through specialized decision capabilities.

To learn more, read our detailed Data Science Platforms Report (Updated: March 2026).

Buyer's Guide

Data Science Platforms

March 2026

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Helped 884,933 peers since 2012

Review summaries and opinions

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

Categories and Ranking

FICO Decision Management

Ranking in Data Science Platforms

27th

Average Rating

9.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Decision Management Tools (2nd)

SAS Enterprise Miner

Ranking in Data Science Platforms

24th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of FICO Decision Management is 1.4%, up from 0.3% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
SAS Enterprise Miner	1.7%
FICO Decision Management	1.4%
Other	96.9%

Data Science Platforms

Featured Reviews

it_user147981

Project Manager at a financial services firm with 501-1,000 employees

I would recommend buying this product for loan origination purposes

FICO OM is very flexible in terms of development, with rapid application development options Streamlined loan origination processes. Credit products. Two years. No. No. Below average. Straightforward. Flexible. Yes, we did. I would recommend buying this product for loan origination…

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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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:

Pros

"FICO OM is very flexible in terms of development, with rapid application development options."

"Good data management and analytics."

"The technical support is very good."

"The solution is able to handle quite large amounts of data beautifully."

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"The data processing of the solution is very good, easy to use, both for enterprise and personal use."

"Technical support has been good, and when I called them at the start of using the product with some issues they were very helpful."

"I like the way the product visually shows the data pipeline."

"The solution is very good for data mining or any mining issues."

More SAS Enterprise Miner pros

Cons

"Customer service is below average."

"The solution is much more complex than other options."

"The visualization of the models is not very attractive, so the graphics should be improved."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"Plus it is prohibitively expensive and is not available with perpetual licensing."

"The license is really expensive. This solution is for large corporations because not everybody can afford it."

"Virtualization could be much better."

"The ease of use can be improved. When you are new it seems a bit complex."

"The user interface of the solution needs improvement. It needs to be more visual."

More SAS Enterprise Miner cons

Pricing and Cost Advice

Information not available

"The solution must improve its licensing models."

"This solution is for large corporations because not everybody can afford it."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Real Estate/Law Firm

Manufacturing Company

Outsourcing Company

Financial Services Firm

20%

Educational Organization

11%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Comparisons

Experian PowerCurve vs FICO Decision Management

Compared 21% of the time

Quantexa vs FICO Decision Management

Compared 6% of the time

TIBCO Data Science vs FICO Decision Management

Compared 5% of the time

IBM Decision Optimization vs FICO Decision Management

Compared 5% of the time

Anaconda Business vs FICO Decision Management

Compared 3% of the time

More FICO Decision Management Competitors

KNIME Business Hub vs SAS Enterprise Miner

Compared 14% of the time

Azure Data Lake Analytics vs SAS Enterprise Miner

Compared 10% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 7% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 6% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

FICO Decision Management

March 2026

Download FICO Decision Management product report

Buyer's Guide

Data Mining

February 2026

Download SAS Enterprise Miner product report

Also Known As

No data available

Enterprise Miner

Overview

The 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.

FICO

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.

SAS

Sample Customers

Aiful, Raiffeisen Bank International AG

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Data Science Platforms

March 2026

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