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The FICO Platform, also known as the FICO® Decision Management Platform, includes powerful products and services that allow businesses to quickly and easily apply optimization techniques to rapidly solve their biggest and most complex problems. FICO provides a deep portfolio of optimization options — FICO® Xpress Optimization — that enable users to easily build, deploy and use optimization solutions that meet their needs.
Standard optimization 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. The architecture is modular and supports integration with third-party data sources, machine learning, other analytic packages, and callable services.
The FICO Platform connects data with optimization and advanced analytics, making it available to solutions, applications and decisions. FICO Xpress Optimization and the FICO Platform allow organizations to understand how to construct the problem and validate the results very carefully, whether developing a mathematical model or configuring a framework that brings together decision variables, constraints, and objectives, profit models of the decision, predictive and action-effect models, and business expertise. Business users and analytic teams can also use prebuilt solution templates to access a vast array of algorithms to reduce time-to-market.
Learn more about FICO® Xpress Optimization
FICO Xpress Optimization puts the power of prescriptive analytics in the hands of business users. It provides a collaborative IDE environment for developing optimization models, services and complete solutions in a web environment. It uses a high-performance web-based code editor, which provides syntax highlighting, code completion and folding, and contextual help for Xpress Mosel, VDL, XML and R.
This is the most flexible and efficient optimization modeling environment available. It allows users to interact with the broadest set of solvers, use their preferred languages and formats (Xpress Mosel, Xpress BCL, R, Python, Java, XML, etc.), and supports rapid application development. This allows companies to design optimization solutions up to 80% faster than other approaches.
Learn more about FICO® Xpress Workbench
FICO offers powerful and versatile solvers to help you model with greater accuracy and rapidly solve highly complex, real-world problems. FICO® Xpress Solver provide the broadest set of competitive engines to solve large-scale linear, non-linear, mixed integer and constraint programming problems. It takes advantage of modern CPU architectures to process millions of variables at great speed and scalability.
Learn more about FICO® Xpress Solver
FICO Xpress Optimization lets teams work in a collaborative environment with interactive visualization and an interface designed for business users to work with models in easy-to-understand terms and account for trade-offs and sensitivities implicit in the business problem.
It provides a collaborative and interactive environment for business and other users to rapidly deploy optimization models as powerful applications. This includes the ability to deploy optimization models as simple point and click applications.
Learn more about FICO® Xpress Insights
FICO Xpress Optimization provides standalone execution services and can also leverage the execution services of the FICO Platform.
Learn more about FICO® Xpress Executor
Integration with Tableau® enables users to visualize various optimization scenarios and do side-by-side comparisons to determine the effectiveness of each strategy. Engaging visualization features help the user easily navigate the model and focus in on important information.
Learn more about Tableau for FICO®
Designed to integrate with existing and future machine learning tools and processes, FICO Xpress Optimization allows organizations to future-proof their systems and investments.
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, and the entire Python ecosystem.
Learn more about AI and Machine Learning