IFIS Japan Ltd.

Automated loan processing uses technology to manage loan applications, from application review and eligibility checks to credit assessment and approval workflows. This article explains how automated loan processing works, its benefits, and how it helps lenders improve efficiency and manage risk.

As digital lending grows, so do concerns around how borrower data is collected, stored, and used. For many loan apps, navigating data privacy laws can feel complex, especially with evolving regulations across different markets. From consent and data sharing to security and compliance, lenders often face recurring questions about what is required and what best practice looks like. Addressing these concerns clearly is essential not just for regulatory compliance, but for building borrower trust in an increasingly data-driven lending environment.

Traditional credit reports can give lenders useful insights into a borrower’s financial history, but they do not always tell the full story. Alternative data can help lenders assess borrowers with limited or incomplete credit histories and make more informed underwriting decisions. In this article, we explore three types of alternative data lenders can use to strengthen credit assessment, improve risk evaluation, and make better lending decisions.