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FICO Decision Management vs MathWorks Matlab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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
28th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Decision Management Tools (2nd)
MathWorks Matlab
Ranking in Data Science Platforms
14th
Average Rating
8.8
Reviews Sentiment
5.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of FICO Decision Management is 0.9%, up from 0.3% compared to the previous year. The mindshare of MathWorks Matlab is 1.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
MathWorks Matlab1.6%
FICO Decision Management0.9%
Other97.5%
Data Science Platforms
 

Featured Reviews

it_user147981 - PeerSpot reviewer
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…
RB
Business Owner at SASS GmbH
Versatile system empowers users with advanced algorithm development and seamless integration capabilities
The application is pretty good, and I don't really complain. For my purposes, MathWorks Matlab is perfect because it's very versatile; it is not out-of-the-box of course, and you have to program everything yourself. If you are experienced enough, you can do many things which other programs, for instance, SPSS, cannot do, as you need to program it—it's a fourth-generation programming language. In the future of MathWorks Matlab, I would appreciate the addition of many AI features, as there are a lot of machine learning capabilities and many AI features in the visual scene, although I don't need those because I use this feature data and don't work on pictures or images. However, you can work on images and can then do deep learning and that stuff, which is one of the real strengths of MathWorks Matlab.
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Top Industries

By visitors reading reviews
Financial Services Firm
39%
Real Estate/Law Firm
7%
Outsourcing Company
6%
Manufacturing Company
6%
Computer Software Company
13%
Comms Service Provider
9%
Government
7%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

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What do you like most about MathWorks Matlab?
The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see...
What is your experience regarding pricing and costs for MathWorks Matlab?
Regarding the pricing part and licensing cost for MathWorks Matlab, it is not cheap, but it depends on the functions you need. You don't need all of them; you may just require a few and then it's r...
What needs improvement with MathWorks Matlab?
The application is pretty good, and I don't really complain. For my purposes, MathWorks Matlab is perfect because it's very versatile; it is not out-of-the-box of course, and you have to program ev...
 

Overview

Information not available
 

Sample Customers

Aiful, Raiffeisen Bank International AG
Information Not Available
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: January 2026.
881,114 professionals have used our research since 2012.