With 3.8 billion people in emerging markets lacking adequate insurance coverage, data plays a crucial role in enabling insurers to comprehend these segments' specific needs and risk profiles. This, in turn, helps develop more accurate risk assessment and pricing models for inclusive insurance offerings.

The use of transactional data for credit underwriting can play a part in closing the estimated US$4.9 trillion global financing gap for micro and small enterprises. This case study examines the data and experience of two fintechs in India that use different sets of transactional data for credit scoring.

To better understand the digital consumer credit and the risks they pose for customers, this reading deck contains supervisory guidance on the use of a branch of AI, Natural Language Processing (NLP), for social media monitoring. It is based on insights and lessons from an India pilot and provides examples of social media analyses carried out as part of that pilot.

This technical note is framed to help policymakers and payment system operators understand recent trends in payment initiation and customer experience in making interoperable payments work better for low-income populations.