Infographic
Infographic
Published December 12, 2024
Advanced Analytics & Modeling Data SourcesLearn how Risk and Retention Triggers℠ can help you gain deeper insights into the health of your portfolio.
Our solutions enable you to:
As we enter 2025, the mortgage industry continues to transform amid political and economic changes. Mortgage lenders must stay updated on trends to serve their customers effectively. Experian data scientists and analysts provide insights into the U.S. housing market's impact on lenders, highlighting recent trends and their implications. We aim to offer a comprehensive overview of the mortgage market, emphasizing key trends, regional differences, and potential growth areas.
Credit card limit management is crucial to the success and profitability of your portfolio. To improve customer satisfaction, retention and engagement, you'll want to gain deep insights to identify which of your customers qualify for higher limits and by how much. This can help you organization increase revenue and limit additional credit risk exposure.
Learn more about how credit card limit optimization can help you:
By implementing a proactive credit card limit management strategy, you can meet your customers’ credit needs while confidently mitigating risk.
Financial institutions need to understand how well a score predicts behavior, such as payment delinquency or bankruptcy, to make more confident lending decisions. By conducting score validations regularly, organizations can ensure they're using the latest data to optimize their lending strategies.
The results of these score validations can be affected by:
Download this infographic to learn more about the importance of regular score validations and how it can have a significant impact on your business.
See Experian Assistant, our latest innovation in GenAI technology, in action – taking financial institutions to the next level by increasing productivity and scaling expertise. In this webinar, discover how to drive higher productivity and customer engagement, minimize time spent writing code, and improve understanding of data and attributes.