Report
Published September 8, 2025
Credit Decisioning Data Sources Fraud Management
Experian surveyed product, fraud and credit risk leaders across 10 countries to understand where underwriting is headed. The takeaway is clear: it’s evolving to be frictionless, embedded and nearly instant.
In this report, you’ll discover:
- How credit underwriting is expected to evolve by 2030
- The primary forces driving these changes
- Key takeaways to help your business lead into the next decade
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Webinar
Smarter Prospecting: Turning Data into Demand
The credit marketing landscape is evolving. As competition intensifies and consumer expectations rise, financial institutions that can predict, personalize and perform at scale will define the next generation of success.
In this webinar, our experts explore how financial institutions can use connected intelligence to find, know and grow the right customers, leading to:
- Smarter acquisition
- Stronger customer retention
- More proactive growth
Infographic
2026 Future of Fraud Forecast
Download Experian’s 2026 Future of Fraud Forecast to explore five fraud trends expected to have the biggest impact on businesses and consumers in the coming year, including:
- Agentic AI and machine-to-machine fraud
- Deepfake-driven employment fraud
- Smart home device exploitation
- Website cloning and emotionally intelligent fraud bots
Webinar
Unlocking alternative data for smarter fintech decisions
Join Ashley Knight, Experian’s SVP of Product Management, and Haiyan Huang, Prosper’s Chief Credit Officer, to discover how:
- Alternative finance data is redefining how to verify and connect identities.
- Email and phone intelligence is unlocking new levels of precision in credit marketing.
- Open banking insights are becoming increasingly critical for financial inclusion and mitigating risk.
Webinar
Refine Your Risk Decisions: Using Decision Trees to Drive Performance
Improve your credit risk decisions with advanced approaches to validating and optimizing decision trees. Learn how stronger models drive smarter, more consistent outcomes across your portfolio.
- Enhance model accuracy
- Strengthen underwriting and collections
- Improve decision speed and consistency
- Align data science and risk teams