Traditional credit scoring models primarily depend on historical credit data, which may be limited or unavailable for many individuals. By integrating alternative data—such as utility bill payments, rental history, and even social media behavior—lending institutions can gain a more comprehensive view of an individual’s creditworthiness. This approach helps broaden financial inclusion by enabling access to credit for those with thin or no credit files.