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Published March 12, 2025
Credit Decisioning Marketing
Reaching the right consumers with credit offerings can be challenging without the right technology. Our optimized prescreen model and strategy service, Ascend Intelligence Services™ Target, can help organizations identify consumers who meet credit offer criteria, increasing the likelihood of positive responses.
With access to Experian’s historical data, financial institutions can:
- Identify the consumers who meet their credit criteria
- Increase the likelihood of positive responses to their offers
- Get the most ROI out of their marketing campaigns while staying within budget
By optimizing their prescreen strategies, organizations can reach more of the right consumers to grow their customers bases and drive revenue.
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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
Infographic
Harness the power of cashflow data
Smarter lending starts with greater visibility.
Read our one pager to discover:
- Why leveraging cashflow data is imperative in today's modern lending environment
- The types of financial behaviors cashflow data reveals
- The benefits of leveraging cashflow data
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.