The FICO Data Privacy Policy explains FICO’s collection and use of cookies. Cookies help us remember your settings to provide you with a better browsing experience; allow us to assess, monitor, and improve the website’s performance; and enable our partners to advertise to you. You may disable the cookies by changing the settings in your browser, and you may tell us not to share your cookie data with third parties. By using this website, you consent to the use of cookies as described in the FICO Data Privacy Policy.
A good place to see how collections impacts competitiveness is the 31-day “time bomb” under IFRS 9 in the financial services industry. To prevent accounts from rolling to Stage 2, and with its requirement for lifetime expected credit loss impairment, some creditors are looking to accelerate collections by assigning more accounts to external collection agencies.
There’s concern, however, about increased exposure to other compliance risks, since creditors are responsible for ensuring third parties treat consumers fairly and adhere to applicable laws and regulations.
Increased placements is a good thing for collection agencies, of course. Instead of throwing bodies at this opportunity, smart organizations are using analytics-driven strategies and automated processes to focus their resources on accounts where they can make the biggest impact in the shortest time, not only to prevent 31-day delinquencies but to collect and recover more.
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!
Time: 9 am UK BST / 10 am CEST Complimentary Webinar 60 Minutes 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. To see all of this in action, register for our upcoming webinar!
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.
2 PM UK BST | 3 PM CEST
COVID-19 challenges are putting unprecedented pressure on consumers' ability to repay loans, creating a debt tsunami that is overwhelming collections departments and debt collection agencies. Handling this spike with BAU approaches is a recipe for disaster.
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.
Tailored communication strategies boost collections and customer satisfaction.
Phillips & Cohen Manages Global Growth While Preserving a Compassionate Approach to Estate Debt Collection with FICO Solution.
Learn how Cabot Credit Management boosted efficiency and customer satisfaction with FICO® Debt Manager™ Solution.
Makes Debt Collection Efficient and Productive with FICO Solution.
Agencies have long provided telecommunications companies with scalability for collections in a high-growth industry. Today, with markets and business models changing, your collections agencies have a growing impact — for good or ill — on y...
In today’s utilities collections environment, traditional approaches are less and less effective. New techniques and a personal touch—like customers being able to resolve late payments from their mobile device—produce higher ROI for collec...
For 60 years, FICO has worked with a broad variety of credit issuers building best practices in the recovery of debt. One area of critical importance is the outsourcing of debt to third parties. Worldwide, more than 40% of credit-...
It’s estimated that 30 million people in the US alone have one or more debts in collections, and household debt is on the rise. Significant 90-day delinquencies come from credit cards, mortgages (plus associated lines of credit), student l...