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Merchant acquirers are under tremendous pressure to grow, but there isn't much room for growth in the verticals traditionally served by acquirers. In order to meet expectations, acquirers need to expand into new or under-served verticals without dramatically increasing their overall risk exposure.
This requires a new approach, one that leverages automation and advanced analytics to facilitate efficient, risk-aware growth.
Acquirers also need to provide the experiences that merchants now expect. In the onboarding process, this means an experience that is digital-first, fast and convenient. In the monitoring phase, it means intelligent, personalized and non-intrusive.
Risk-aware growth. Better, more precise understanding of risk enables acquirers to be more aggressive and creative in their growth strategies.
Streamlined merchant experiences. Automated, digital-centric onboarding and intelligent monitoring with self-service resolution gives merchants the experiences they demand.
Business agility. Flexible systems and intuitive strategy development tools give your business users direct control and the ability to adapt quickly without IT or vendor intervention.
This course is aimed at developers and rule writers. The course covers rule authoring using both interactive builder and advanced builder where participants will learn how to write using Structured Rule Language (SRL); project testing and deployment.
This two-part course provides a foundation for developing a Blaze Advisor system-enabled application. Part 1 is for both Business Analysts and Developers who maintain rules in the RMA. Part 2 is for Developers who need to understand the SRL generated by the RMA. Students are introduced to rule authoring, Structured Rule Language (SRL), testing, RMA generation, lifecycle management in the RMA, and rule project deployment.
This course familiarizes attendees with optimization models and techniques, and the terminology used to describe them. Participants gain an understanding of the Xpress suite, the Mosel modeling and programming language, and Xpress Workbench. Through a series of projects illustrating applications of the LP and MIP methods, students learn to implement optimization models using Xpress Optimization Suite.
Vantiv streamlines merchant onboarding with FICO® Decision Management Suite.
As unprecedented disruptions continue to wreak havoc on the economy and daily life, many Third-Party Risk Management (TPRM) leaders must contend with an increase in cyber threats and a decrease in available budget. Thus, sticking with the ...
Data Scientists and Operations Researchers can now deploy their Python models into user-friendly apps in FICO Xpress Insight. The models can be of any type—statistical regression, forecasting, or machine learning-based, etc.—and utilize an...
Building AI-Driven Enterprises in a Disrupted Environment reveals how data and analytics executives at large enterprises are working to operationalize AI in the age of COVID-19. Through survey research and in-depth executive interviews,...
Companies rely on FICO solutions to manage every stage of the credit lifecycle and other mission-critical business processes. To help them deploy these solutions quickly and safely around the world, FICO provides a complete, integrated pla...