Welcome to the Experian Thought Leadership Hub

This summary outlines important research findings that help lenders drive a more inclusive environment for customers, while mitigating risk.

A few takeaways:

• Understanding the profiles of who’s more prone to exclusion informs risk management.
• Machine learning techniques can also be deployed to help detect economic interaction effects or shifts.
• Attributes like education level, occupation or rent/utilities payment history have predictive power in credit outcomes.

Read the latest findings about "Closing the credit gap" white paper, and what they mean for financial inclusion and risk management.

Key insights:

• Income and credit trends reveal significant disparities that impact access to financial products.
• Demographic shifts across gender, household structures, ethnicities, and generations are reshaping borrower profiles.
• Lenders who adapt their strategies and product offerings can expand their customer base, reduce default rates, and lead in inclusive finance.

Every lending decision you make relies on data, but what if that data only tells part of the story? Download our use case to meet two borrowers, Claudia and John, and discover how alternative data can help you:

• Reveal hidden financial stability in members.
• Identify early warning signs of risk.
• Enable more accurate and inclusive lending decisions.
• Drive stronger member relationships.

Credit unions exist to serve all members of their communities. Yet millions of financially responsible individuals remain invisible to conventional scoring. Download our alternative data guide to discover:

• The strategic advantages of alternative credit data 
• The future of inclusive lending
• Why you should partner with us

Experts from Experian, Micronotes, and Premier America Credit Union explore how credit unions can reach the right prospects at the right time to drive measurable loan and member growth.

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.

GenAI is transforming the financial services industry by drastically improving productivity and efficiency. Experian Assistant, our award-winning GenAI solution, can help lending institutions: 

• Automate complex tasks 
• Provide real-time coding support 
• Minimize compute power 
• Speed up the modeling lifecycle 

Watch this video to discover how Experian Assistant can help your business unlock the full power of your data with less friction and faster results.

Financial institutions face several challenges during the credit decisioning process, such as poor data quality, scalability issues, data fragmentation, and high maintenance costs. Experian can help lending institutions enhance their credit decisioning journey at every step, through:

• Model development
• Model deployment
• Decisioning
• Fraud analysis

Discover how your organization can take your credit decisioning journey to the next level with the Experian Ascend Platform™.