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A massive tidal wave in technology is coming and lenders must incorporate changes into their operational side of their business in order to meet changing consumer preferences and regulatory demands.
Consumers require improved personalized treatment and transparency while they shop from their home computer or on their mobile app. They want to carry their research, preferences and selections from online to the showroom for a better and more consistent buying experience.
Lenders need to improve customer and operational capabilities of their underwriting offerings and prepare against the growing threat of synthetic and other types of fraud through the use of identity resolution technology.
More than ever, finance companies must integrate all aspects of the credit risk lifecycle from marketing, acquisition, customer management, financial crime and compliance through the use of advanced analytics and optimization strategies.
We believe companies need to view their operations in terms of connected ecosystems. FICO brings five business accelerators to the finance sources through the use of preconfigured software, advanced analytics, credit and non-credit scoring solutions to improve and connect decisions across the credit risk lifecycle ecosystem.
Our five business accelerators takes you to a new level to find, acquire, manage, protect and differentiate from the competition. These accelerators provide advanced decisioning in the customer engagement, acquisition and on-boarding, servicing and management, and customer protection areas of your business.
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 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.
Learn how Toyota Financial Services uses data science to keep customers from losing their cars.
Consumers shopping for and financing a new or used vehicle have more choices than ever before. Empowered by digital delivery channels such as self-service and mobile, individuals are now able to rapidly find the vehicle and loan that best ...
In late 2018, FICO commissioned a global independent research study with 2,000 consumers across nine countries to better understand key consumer perceptions within the vehicle financing experience.