This post is the second in the series on “Five Business Case Insights on Mobile Money.” In the first post, we shared with you a detailed presentation on the five insights. Here we explain further the first three insights.
Mobile money has had bad press lately for fraud-related cases. Most of the reported cases were either the result of internal employees misusing the system to cause operator losses or fraudsters trying to scam unsuspecting users. There is another angle that rarely gets any press—when users or agents abuse the platform and use it in rogue ways that it was never intended.
Grameen Foundation, MTN and CGAP launched the AppLab Money Incubator a year ago, in part, to develop a human-centered design process that shows players with an appetite to go down-market that innovation can be cost-effective and impactful and can also lead to new areas of growth. This is the first part of a case study documenting our experience.
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.