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FICO® Xpress Optimization is composed of four core components: FICO® Xpress Insight, FICO® Xpress Executor, FICO® Xpress Solver and FICO® Xpress Workbench. Solving large complex optimization problems can be the difference between success and failure in today's marketplace. FICO Xpress Optimization allows businesses to solve their toughest problems, faster. FICO’s deep portfolio of optimization options enables users to easily build, deploy and use optimization solutions that meet their needs. Standard capabilities include scalable high-performance solvers and algorithms, flexible modeling environments, rapid application development, comparative scenario analysis and reporting capabilities, for on-premises and cloud installations.
Browse the FICO Xpress Optimization product documentation where you will find installation guides, help for all four modules and examples. Visit the FICO Optimization Community to download software trials, get support and talk to the experts!
Solve your most difficult business problems
FICO Xpress Optimization offers powerful and versatile solvers and flexible language support to model more accurately and solve highly complex, real-world problems. FICO offers a complete set of industry leading solver technologies.
Rapidly increase business value
This allows FICO Xpress Optimization to process millions of variables at great speed and scalability, enabling business users to find better decisions to complex problems in minutes.
Machine learning and artificial intelligence
FICO Xpress Optimization technology is designed to integrate with existing and future machine learning tools and processes. Proven integrations include: the entire R ecosystem; model scores input as data; all PMML formats; MATLAB code and data; external executable scripts; callable “black-box” models in Java or as external scripts; the entire Python ecosystem.
Allows every type of user to successfully utilize optimization
FICO offers optimization products, solutions, and services that allow every level of user to successfully apply optimization to solve business problems, including features and functionality for business users and analysts, solution developers, data scientists and operation research professionals.
FICO Xpress Optimization is composed of four components:
Access the most complete set of algorithms for solving large-scale linear, mixed integer and non-linear problems as well as constraint programming problems.
Allows businesses to rapidly deploy optimization models as powerful applications.
Business users can understand trade-offs and sensitivities implicit in the business problem and compare the outcome of different scenarios.
Powerful solution sensitivity analysis, making it possible to efficiently explore large quantities of "what if?" scenarios.
Xpress Mosel contains drivers for access to text, XML, R, Python, MATLAB, CSV, Excel, Hadoop's HDFS, OBDC and Oracle databases.
Integration with Tableau® for FICO facilitates drag and drop creation of visualizations.
Uses Xpress Mosel, the most flexible modeling and configuration language available, to provide an easy-to-learn, robust way to interact with Xpress solver engines.
APIs connecting to Java, C/C++, .NET, VB and other languages and web services.
High-performance and reliable optimization engines that support multi-threaded parallel processing out of the box.
Straightforward, goal-oriented screens put the power of optimization in the hands of business users.
FICO Xpress Optimization components are integrated within the FICO® Decision Management Suite enabling organizations of all sizes to leverage the power of optimization.
In a majority of cases, companies who’ve invested in advanced analytics are still failing to deploy those assets in a way that generates a positive ROI. How can data science teams stop their efforts from going to waste and start putting their analytics into action? Watch this on-demand webinar to find out. We demonstrate how FICO® Xpress Insight can take any advanced analytic asset (such as an R or Python script) and turn it into a fully functioning application for business users.
Early adopters who have successfully leveraged advanced analytics for improved execution consistently report that real-time decision-making is reducing overhead, automating tasks and freeing up capacity to make significant bottom-line impr...
Across industries, data scientists are creating powerful models to solve urgent business problems. 85% of the time, however, the models don’t reach the intended business users. The result is wasted time and effort, which jeopardizes the ul...
With vast amounts of data at your disposal, it can be challenging to understand what to do with it, how to apply analytics and how to pull insights. To further complicate this challenge, understanding which action to take and why — and communicating it in a business context to prove its value — is a top priority