Case Study: KASIKORN LINE achieves personalized banking and financial inclusion with Databricks

Unlocking the potential of social banking to the underserved

KASIKORN LINE, Thailand’s first social bank through LINE BK, wanted to expand access to banking and lending for underserved customers but was hindered by data silos, diverse data sources, and the need for real-time credit decisions. As a lean team, it needed a scalable, integrated platform to turn social and financial data into actionable insights and better evaluate creditworthiness beyond traditional credit history.

With the Databricks Data Intelligence Platform, KASIKORN LINE built a unique credit scoring model that combines conventional financial data with behavioral data from LINE to personalize financial services for underbanked and unbanked users. Databricks helped them unify analytics and AI on a scalable lakehouse architecture, improving their ability to serve customers and support greater financial inclusion.

KASIKORN LINE

Thee Chanyaswad

Head of Data Analytics