Financial inclusion metrics for the real world
A recent i2ifacility blog post Good Intentions1 highlighted the importance of the relationship between what you measure and theoutcomes you achieve. For financial inclusion, this is particularly truein terms of understanding the complex relationships between the real world and the access to and usage of cash-in/cash-out services. Spatial data is key to understanding which parts of the population have access to services, understanding real-world drivers of the distribution of services as well as understanding the real-worldcharacteristics that influence and drive usage of specific productsand services.
Policymakers play a key role in driving financial inclusion, not only through the setting and measuring of broad, national financialinclusion targets, but also in the setting of policies and standards
to encourage (i) the distribution of services in a way that increases access and (ii) the design of appropriate and inclusive products and services in a way that increases usage. Before examining how spatial data can be used to inform metrics and measurement frameworks, we need to explore how spatial data can enhance our understanding of access and usage.