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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.
Time: 11am EST / 8am PST
As the COVID-19 epidemic wreaks havoc on the economy, many TPRM leaders must contend with an increase in cyber threats and a decrease in available budget. Thus, sticking with the standard, resource-intensive processes is infeasible, ineffective, and—worse—often backward-looking. The good news is that it’s actually possible to scale your cyber risk programs and protect your business more effectively with predictive analytics.
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: 10am PST / 12pm CST / 1pm EST
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 any optimization solver. Users can also leverage the Python package ecosystem, explore data, and execute and compare models.
Join our webinar to learn how you can quickly and easily integrate Python with Xpress Insight. We’ll show you:
This is the first in a series of Xpress Insight webinars designed for end-users. In a future episode, we’ll focus on how to develop a data science app based on an analytics model—stay tuned!
11:00am PST | 2:00pm EST
In today’s new reality, customers are looking for simplicity, convenience and instant gratification – anytime, anywhere. That is why digital ID Proofing and Authentication is predicted to become a key component of digital transformation for auto dealerships and lenders, in large part due to the COVID-19 pandemic. In fact, we believe this technology will become a mainstay in the customer lifecycle in order to protect dealerships and lenders from the fraudsters.
Customer satisfaction and retention are keys to long-term profitability in almost every industry. However, inconsistent and impersonal customer interactions are among the most-cited reasons people decide to shop elsewhere. In financial services, for example, over five million customers switched banks last year, and six million more plan to do so in 2020. Ironically, many firms possess the information necessary to delight customers and keep them from defecting, but they are falling short in implementing what industry experts call “customer centricity.” Join our webinar to see how your organization can close that information gap and keep your customers for the long haul.
In this valuable educational webinar, we will discuss how a customer-centric strategy, coupled with real-time data-driven decisioning, will enable smarter, faster, and more individualized interactions across all channels. With a full, 360-degree view of your consumers and a more flexible decision system, your business can anticipate customer needs with personalized offers and rapid responsiveness, resulting in higher satisfaction and long-term retention. Regardless of your organization's current decision infrastructure, there's an achievable roadmap to higher customer-centricity, and we'll show you examples of firms who have already made it happen. We hope you'll register for this webinar to learn more!
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.
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.