Tag: Decisioning
Learn how GenAI is reshaping financial services from customer engagement to compliance, leading to improved decisions and operations.
Reject inferencing techniques unlock a more comprehensive view of your applicant pool for more informed underwriting decisions.
Experian’s award-winning platform now brings together market-leading data, generative AI and cutting-edge machine learning solutions.
Optimization modeling provides actionable insights that drive decisioning, allowing businesses to achieve their marketing and growth goals.
Join us as we dive into the world of decisioning and optimization during our upcoming tech showcase. Register now!
Business leaders accross industries are using predictive analytics to make informed decisions.
With predictive custom machine learning models, lenders can target the right audience, score applicants more accurately, and mitigate credit risk.
Lenders are increasingly using artificial intelligence (AI) and machine learning (ML) throughout the customer lifecycle and access to these advanced tools is expanding.
To drive growth and customer retention in today’s competitive landscape, financial services must optimize their customer acquistion strategies.
In today’s evolving and competitive market, the stakes are high to deliver both quantity and quality. That is, to deliver growth goals while increasing customer satisfaction. OneAZ Credit Union is the second largest credit union in Arizona, serving over 157,000 members across 21 branches. Wanting to fund more loans faster and offer a better member experience through their existing loan origination system (LOS), OneAZ looked to improve their decisioning system and long-standing underwriting criteria. They partnered with Experian to create an automated underwriting strategy to meet their aggressive approval rate and loss rate goals. By implementing an integrated decisioning system, OneAZ had flexible access to data credit attributes and scores, resulting in increased automation through their existing LOS – meaning they didn’t have to completely overhaul their decisioning systems. Additionally, they leveraged software that enabled champion/challenger strategies and the flexibility to manage their decision criteria. Within one month of implementation, OneAZ saw a 26% increase in loan funding rates and a 25% decrease in manual reviews. They can now pivot quickly to respond to continuously evolving conditions. “The speed at which we can return a decision and our better understanding of future performance has really propelled us in being able to better serve our members,” said John Schooner, VP Credit Risk Management at OneAZ. Read our case study for more insight on how automation and PowerCurve Originations Essentials can move the needle for your organization, including: Streamlined strategy development and execution to minimize costly customizations and coding Comprehensive data assets across multiple sources to ensure ID verification and a holistic view of your prospect Proactive monitoring and real-time visibility to challenge and rapidly adjust strategies as needed Download the full case study
Shri Santhanam, Executive VP and GM of Experian's Global Analytics and Artificial Intelligence talks advanced analytics and AI in lending in recent podcast.
Partnerships fill a need in the quest for sustainable growth. Here are three key questions to consider when evaluating if a partner is right for you.
In this latest installment of “working with vendors” let’s dive into some best practices for writing RFIs and RFPs.
Digitalization continues to remain a top priority for many organizations in 2021.
If you’re looking to buy new decisioning software, your first inclination might be to issue an RFI or an RFP. However, that may not be the best idea.