Case Study
Published February 4, 2025
Credit Unions Fraud Management Identity
Overwhelmed by evolving fraud attacks and a heavy reliance on manual reviews, a leading credit union turned to NeuroID’s behavioral analytics to spot advanced fraudsters and stop attacks in real time.
Key Results:
- Improved top-of-funnel fraud detection, reducing fraud losses, false positives, and unnecessary step-ups
- Decreased manual review workload, freeing up over 40 hours a month for customer service and growth initiatives
- Real-time detection of attacks, providing improved protection and confidence in fraud mitigation capabilities
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Infographic
183% ROI and 12-Month Payback
Based on interviews with global financial institutions, the Forrester Total Economic Impact™ study, commissioned by Experian, reveals real customer impact stories and business wins delivered by the Experian Ascend Platform™. This infographic shares some of the key findings.
Key insights include:
- 183% return on investment (ROI) and $13.3M in net present value (NPV) over three years
- A car leasing company’s approval rates increased from 60% to 66%, improving consistency and revenue growth
- An airline reduced fraud chargebacks by 99.9%, lowering regulatory risks and financial losses.
White Paper
GenAI in finance: a formula for growth and profitability
GenAI isn’t just changing the financial services industry; it’s redefining it. When faced with industry challenges and economic uncertainty, leading financial institutions strategically leverage GenAI to drive business growth and profitability.
Experian’s latest innovation, Experian Assistant, is empowering financial institutions stay ahead of the competition while driving strong business results.
Experian Assistant enables organizations to:
- Enhance operational efficiency
- Reduce costs
- Improve customer experience
Download our latest white paper to unlock insights into how you can improve internal productivity, serve your customers more effectively and generate revenue.
Infographic
What traditional models miss about today's borrowers
Relying solely on traditional credit scores can leave you with a limited view into consumers’ financial stability.
See how integrating alternative data can help you:
- Identify more qualified borrowers
- Spot potential risks
- Strengthen portfolio performance
Infographic
Make better, data-driven decisions with loan loss analysis
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.