Case Study
Published October 17, 2019
Fintech Collections & Debt RecoveryChicago-based online consumer-finance platform and service provider, OppsLoans, saw a 134% return on investment after leveraging Experian's Tax Season Payment Indicator to identify past-due customers who paid down balances by at least 10% or made a payment of $500 or more during tax season.
Discover how Experian helped them achieve this by reading this case study.
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Infographic
Credit decisioning journey
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™.
Webinar
Macroeconomic forecasting and credit trends - August 2025
Although the U.S. economy remains solid and has resisted a broader slowdown thus far in 2025, the outlook remains highly uncertain. In this environment, it is imperative for businesses to stay on top of the latest economic developments. Experian’s Chief Economist Joseph Mayans, Director of Fintech Gavin Harding and Head of Automotive Financial Insights Melinda Zabritski, will provide a look into:
- The latest economic, credit and automotive finance trends
- Forecasts for the rest of the year and beyond
- Answers to today's most pressing questions
Webinar
Model Risk Management for Regulatory Excellence
Financial institutions face numerous challenges when complying with model risk management regulations. Watch our Model Risk Management for Regulatory Excellence webinar and discover more from our experts Ankit Sinha and Masood Akhtar on how to:
- Automate documentation processes
- Reduce regulatory risk
- Speed up time-to-market
- Monitor for performance
Report
The Evolving Challenge of Regulatory Compliance in Model Risk Management
As regulations continue to change, financial institutions must establish robust risk management practices and adopt technology that matches the scale and speed of compliance requirements.
Key priorities include:
- Strengthening model governance and transparency
- Enhancing explainability and responsible AI integration
- Reducing compliance burden through seamless automation
- Ensuring consistency across model validation and approval processes
Read our full report to learn more about the growing importance of monitoring, transparency, and automation in model risk management.