The GSMA Mobile Money for the Unbanked programme (MMU) has been following the growth of the industry for the past few years using its Deployment Tracker which monitors the number of live and planned mobile money services for the unbanked.
The second post in our series described the importance of demand-side data for understanding consumers and their financial habits and needs. Various organizations are contributing to the global pool of demand-side data in branchless banking and in this post we’ll focus on two of the main sources. The Financial Inclusion Tracking Surveys (FITS) are annual household panel surveys in Uganda, Tanzania, and Pakistan while the Tanzania Mobile Money Tracker Study (TMMT) uses quarterly surveys to track market trends. Both are being carried out by InterMedia and the Bill & Melinda Gates Foundation. In this post, we’ll highlight some of the analysis on rural and urban households to demonstrate the actionable insights that can be gathered from such datasets.
The second post in a series on the emerging branchless banking data architecture focuses on the demand side of the data equation and attempts to answer questions such as: which clients are using which products for which purpose? What aspects of a service are they satisfied or dissatisfied with? And, perhaps most importantly, is the service having a positive impact on their general well-being?
This first post in this series lays out a conceptual map of the data landscape and takes a closer look at the supply-side data gathering efforts worldwide. It is important to note that while various initiatives have begun to look at the wider financial inclusion data architecture from the supply and demand-side, branchless banking and mobile money data is still missing from many datasets or is poorly represented.
The series aims to explore the landscape of supply and demand-side data gathering efforts with the related goals of (i) identifying gaps in the data architecture; (ii) moving toward consensus – where it makes sense – on the correct indicators and