These best practices can help you not just meet regulators’ requirements but also increase the value your models add to the business

Here is useful information on how to assess alternative data and combine it with so-called traditional data to improve credit risk analytics

With the right technology it is now possible to drive out manual or high-friction interventions and offer seamless, near-instant credit decisions across multiple sales channels

This FICO World presentation highlights the vital importance of balancing customer care with collections success in a highly regulated environment

A new supervisory statement from the Bank of England suggests stronger controls are needed, and the principles are good guidance for banks globally

Regulatory pressures and waning trust are among the factors forcing banks to better meet customers’ needs - here are some best practices

From identifying vulnerable customers to storing the right data, here are best practices for debt collection during the ongoing squeeze on household incomes

With the clock ticking to the 31 July FCA deadline, a FICO roundtable looked at the scale of the Consumer Duty challenge

Managing UK customers to better outcomes under the FCA’s Consumer Duty will require a true platform for understanding and action

Just as every orchestra needs a conductor, decision orchestration keeps all the rules and processes firing at the right times in your system

Microservices are small building blocks created to accomplish a business action or decision, and can be used throughout the business to increase efficiency and improve results

The 2020 Year in Review report from the DOJ's Fraud Section reflects a remarkable record of individual prosecutions in 2020

Unless you are good at generating the right data characteristics, or features, which are relevant to your business decisions, you cannot increase the value of big data

Multiple types of data can be fed into banking systems to make better decisions - but can your system handle it?

Financial institutions should consider the introduction of machine learning and artificial intelligence (AI) to go beyond simple red-flag indicators of TBML.