Case Study
Published June 3, 2025
Advanced Analytics & Modeling Credit Decisioning Marketing
The Forrester Total Economic Impact™ (TEI) study, commissioned by Experian, explores the quantifiable and unquantified benefits of implementing the Experian Ascend Platform™. Based on interviews with global financial institutions, the report provides a comprehensive analysis of how the platform improves credit decisioning, reduces fraud, and delivers significant ROI.
Key insights include:
- 183% return on investment (ROI) and $13.3M in net present value (NPV) over three years
- 67% improvement in credit decisioning efficiency
- 20% reduction in default costs through better risk modeling
- 5% annual growth in application volume without added headcount
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Video
5 model classification blind spots to watch out for in 2026
Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.
- Refresh classification continuously
- Map dependencies and shadow models
- Standardize decisions and documentation
White Paper
Why efficient hyperparameter tuning matters: Putting Bayesian Optimization to the test
Bayesian Optimization offers a more efficient way to tune machine learning models at scale. This white paper presents a controlled comparison with Grid Search using production credit-risk data to measure runtime and model performance.
- Up to 80× faster hyperparameter tuning
- No loss in CV or holdout AUC
- Evidence from LightGBM credit-risk models
- Guidance for governed ML environments
Tip Sheet
Closing the gaps: fraud prevention across the customer lifecycle
This tip sheet explores where fraud can enter the customer lifecycle and how predictive fraud risk scores help distinguish fraud from true credit risk and help you:
- Reduce first-payment default and bust-out fraud
- Detect synthetic identities earlier
- Improve prescreen and campaign ROI
- Strengthen account management decisions
Report
Global Insights 2026: Predictions for Credit and Fraud Risk
Global Insights 2026 explores how financial institutions are shifting from rapid AI adoption to accountable, connected intelligence. As fraud grows more sophisticated and risk functions converge, success depends on governed data, orchestrated ecosystems, and explainable decisions at scale.
- Accountable AI with measurable ROI and governance
- Layered fraud and continuous identity verification
- Unified credit, fraud, and compliance intelligence