Understanding the open banking landscape

Without modern, data-driven strategies, agencies and debt buyers risk falling behind in an increasingly digital-first world. 

In this e-book, you’ll learn how to:

• Recover more with dynamic scoring models.
• Streamline prioritization with advanced data and analytics. 
• Engage faster through personalized communications and tailored outreach.
• Improve efficiency with on-demand platforms and self-service portals.

Changes in consumer behavior and advancements in data and technology mean that traditional collection methods may no longer produce the best results. 

Download our checklist for four key signs  that your strategy needs updating and how modern solutions can help:

• Lack of proper account prioritization 
• Low engagement and high call avoidance  
• Outdated scoring or models 
• Inefficient manual processes

Generative AI is a powerful force that’s driving higher efficiency and productivity in credit risk management for financial institutions. Read our latest white paper to discover how lenders can improve the credit risk management process to:

• Streamline operating expenses
• Enhance compliance
• Increase lending volume
• Reduce credit and fraud losses

A strong credit risk decisioning strategy is crucial for any financial institution looking to stand out from the competition, book more high performing loans, and drive revenue. Lenders can achieve this by implementing next-gen AI technology to: 

• Build and deploy models faster 
• Optimize lending criteria 
• Reduce fraud risk 

Watch this video to learn how you can level up your credit decisioning journey across the customer lifecycle with the Experian Ascend Platform.