Infographic
Published April 1, 2025
Banks Credit Unions
Loan loss analysis is an effective way for lending institutions to drive smarter business decisions by identifying loans that have been lost, where they’ve been booked, their key characteristics, and how they’ve performed.
With loan loss analysis, you can gain visibility into:
- What type of financial institution did that applicant book with (bank, credit union, finance company, etc.)?
- What was the average loan amount, and were others offering more or less?
- What was the estimated interest rate, and how did it compare to yours?
- What was the loan term length?
- What was the average risk score?
Accessing this information can help your organization validate your lending policies or find out where you can make adjustments to remain competitive in the market and win more business.
Click the button below to access the infographic
View now
Case Study
Leading consumer financial merchant case study
See how behavioral analytics strengthened post-login fraud detection.
- Learn how we integrated across 200+ ecosystem points.
- Discover how fraud detection increased 2X versus incumbent tools.
- Explore how connected signals exposed organized fraud rings.
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
Case Study
Turning thin-file members into incremental growth
Learn how a proactive credit card graduation strategy helped America First Credit Union responsibly expand member relationships while maintaining strong portfolio performance.
- Increased more than 32,000 credit card limits
- Generated approximately $26 million in balance growth
- Maintained just 0.59% delinquency
Infographic
Commercial and small business lending, optimized
A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.