eBook
Published April 18, 2025
Advanced Analytics & Modeling Data Quality & Management
Lending institutions can gain an edge on the competition by determining what happens when a loan gets booked elsewhere. With loan loss analysis, lenders can learn more about where these lost loans are booked, the average loan amount, the interest rate, the loan term length, and the average risk score.
Analyzing this information can help lenders:
- Improve lead quality
- Target the right consumers
- Acquire more high-quality loans
- Increase cross-sell opportunities
Complete the form to access the eBook
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Thank you for your interest
Your free Experian resource is now available. Enjoy!
Webinar
How to Operationalize Trusted Data for AI
Build a trusted data foundation for AI as models and agents draw from more sources and make faster decisions.
- Understand why traditional approaches can fall short at AI scale
- Learn what makes data reliable, relevant, safe and representative
- Identify data trust gaps and prioritize what to fix
- Explore how to operationalize trusted data
Webinar
AI in Lending: From Experimentation to Execution
Explore research on what financial institutions need to move AI initiatives forward responsibly.
- Understand the data and governance barriers slowing AI adoption
- See where lenders are investing to strengthen AI foundations
- Learn why data lineage, explainability and trust matter for scale
- Explore how connected intelligence can support modern lending
White Paper
Holiday Shopping Season 2026
Prepare your portfolio before peak holiday spending with insights into changing consumer behavior, credit trends and risk signals.
- Understand how income divergence is reshaping portfolio risk.
- Learn how BNPL, AI and alternative data influence lending decisions.
- Identify strategies to grow wallet share while managing early delinquency risk.
- Prioritize actions before the holiday shopping season begins.
White Paper
Governing AI at Scale for Adaptive Model Risk Management
Learn how financial institutions can modernize model risk management to govern AI responsibly at scale.
• Explore adaptive AI governance principles for regulated environments
• Understand the LLM-as-a-judge governance review approach
• See how AI-assisted governance improves oversight, evidence and accountability