Data can play an integral role in all aspects of financial inclusion development. Innovative ways of collecting, analysing and storing data can lower the cost of up-to-date, high-quality geospatial data on financial access points or help banks offer more tailored financial solutions to their clients by analysing their existing transactional data. Machine learning can better assess creditworthiness for clients with no official credit history, and shared client data can open the door to additional services that improve client value. These developments can enable financial service providers, policymakers and impact investors to optimise the impact of their work through the use of data.
Our global i2i programme connects decision-makers with the data they need by building on, and showcasing, the existing knowledge base of financial inclusion data and collaborating with a wide range of partners.
The Latest in Data and Analytics
More and more financial service providers (FSPs) are looking to data to inform investment decisions, such as "Where should we roll out financial [...]
Alternative data ‘lends’ a hand
Worried about how to improve your credit score? At least you have one. The harsh reality is that credit bureaus do not have data on the vast majority [...]
GIS community of practice
The first GIS-focused community of practice knowledge-sharing session on 26 November 2015 focused on ways to promote maximum usage of geospatial [...]
GIS4FI process note: Zambia
The i2i data quality team supports Zambia’s Financial Sector Deepening Trust (FSD Zambia) in their efforts to make geospatial data accessible to [...]
7 Applications for GIS Data
The following is a brief from the insight2impact Data Quality team on their work with financial service providers (FSPs) on pioneering innovations in [...]
The availability of data in financial inclusion has grown tremendously in recent years. Data initiatives such as the World Bank’s Findex, [...]