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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.
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.
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 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.
Time: 1pm EST / 10am PST
Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to business end-users. The main barrier is the lack of a deployment platform that converts models into user-friendly applications. Instead of having to continue running these models yourself or relying on a patchwork of open-source platforms, we’d like to (re-)introduce you to an enterprise-ready solution that fully integrates with Python to convert your analytics into a useable, interactable form: FICO Xpress Insight.
Time: 12pm EST / 9am PST
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.
Vantiv streamlines merchant onboarding with FICO® Decision Management Suite.
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