Traditional credit scoring methods, though widely used, exclude a staggering number of individuals globally—approximately 3 billion people—due to insufficient or absent credit histories. Often labeled as "credit invisibles," these individuals face considerable challenges accessing loans and other financial services, emphasizing an urgent need for alternative scoring...
In an era where traditional credit scoring models fall short of accurately assessing the unbanked and underserved populations, alternative data has emerged as a transformative solution. By leveraging non-traditional sources like social media activity, subscription data, marketplace behaviors, and even darknet intelligence, businesses can not only enhance credit risk models...
In an era where traditional credit scoring models fall short of accurately assessing the unbanked and underserved populations, alternative data has emerged as a transformative solution. By leveraging non-traditional sources like social media activity, subscription data, marketplace behaviors, and even darknet intelligence, businesses can not only enhance credit risk models...
