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...
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...
Scoreplex has signed a Memorandum of Understanding (MoU) with HES FinTech, developing lending automation processing systems that provide cost-efficiency and drive fast operations for financial service companies. This collaboration represents a significant advancement in utilizing HES FinTech's AI-driven credit decisioning capabilities alongside Scoreplex’s expertise in alternative data...
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...
