Data & Analytics
In today’s highly competitive landscape, credit card issuers face the challenge of optimizing portfolio profitability while also effectively managing their overall risk. Financial institutions...
In an era where record-breaking home prices and skyrocketing interest rates define the mortgage landscape, borrowers find themselves sidelined by prohibitive costs. With the...
Model explainability has become a hot topic as lenders look for ways to use artificial intelligence (AI) to improve their decision-making. Within credit decisioning,...
While today’s consumers expect a smooth, frictionless digital experience, many financial institutions still rely on outdated technology and manual reviews to acquire new customers....
In today’s fast-paced digital world, the risk of fraud across all industries is a constant threat. The traditional methods of fraud detection are no...
Well-designed underwriting strategies are critical to creating more value out of your member relationships and driving growth for your business. But what makes an...
If you’re a manager at a business that lends to consumers or otherwise extends credit, you certainly are aware that 10-15% of your current...
Over the past few decades, the financial industry has gone through significant changes. One of the most notable changes is the use of alternative...
Growing deposits from existing customers and members is an ongoing priority for banks and credit unions. However, it can be challenging to identify the...
With great risk comes great reward, as the saying goes. But when it comes to business, there’s huge value in reducing and managing that...
This article was updated on November 9, 2023. Fraud – it’s a word that comes up in conversations across every industry. While there’s a...
As the sophistication of fraudulent schemes increases, so must the sophistication of your fraud detection analytics. This is especially important in an uncertain economic...
This article was updated on October 31, 2023 In a series of articles, we talk about understanding the different types of fraud and how...
Model governance is growing increasingly important as more companies implement machine learning model deployment and AI analytics solutions into their decision-making processes. Models are...
Data-driven machine learning model development is a critical strategy for financial institutions to stay ahead of their competition, and according to IDC, remains a...