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FICO Decision Management vs TIBCO Data Science 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
31st
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Decision Management Tools (2nd)
TIBCO Data Science
Ranking in Data Science Platforms
25th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of FICO Decision Management is 0.3%, up from 0.2% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

it_user7347 - PeerSpot reviewer
First Look: FICO Decision Optimizer
Decision optimizer is one of FICO’s Decision Management Tools and is designed to address some specific challenges in customer decisioning, particularly that there are often competing objectives and very large numbers of customers (and thus customer decisions) involved. Combine this with the many…
VS
A straightforward initial setup and good reporting but needs better documentation
It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.
report
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Top Industries

By visitors reading reviews
Financial Services Firm
42%
Insurance Company
10%
Computer Software Company
9%
Manufacturing Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Also Known As

No data available
Alpine Data Chorus
 

Overview

 

Sample Customers

Aiful, Raiffeisen Bank International AG
Havas Media, Tipping Point Community, eviCore
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