Now reading: Interview with Anthony Mabonga, Credit Risk Analyst at M-Kopa

Data and Analytics

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

Interview with Anthony Mabonga, Credit Risk Analyst at M-Kopa
Listen to the interview with Anthony Mabonga, Credit Risk Analyst at M-Kopa on the DataHack4FI Innovation Competition in [...]
Leveraging Big Data for Inclusive Insurance
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Zambia DataHack4FI Hackathon
Highlights, Friday 24th – Sunday 26th March [...]
The data effects of mobile money in Uganda
As you leave Kampala and its busy streets, you head into rural Uganda where you exchange small shops and boda-bodas for plots of coffee, maize, goats [...]
Client Insights focus note
Alternative data sources and analytical methodologies. The focus of this note is on the increasing adoption by the private sector of alternative [...]
Geospatial data key for financial inclusion in Nigeria
Central Bank of [...]
Spatial data utilisation is key
Richard Yego from Airtel Uganda on knowledge sharing and best [...]
Farming for data in Kenya
Thoughts from the first event in the #DataHacks4FI meet-up series in Nairobi In Kenya, agriculture is the second largest contributor to GDP and [...]
A river gets full through its tributaries
Building mutually beneficial financial inclusion communities through data The first language that l was exposed to as a child was Sotho/Tswana. My [...]
Data and analytics for business decision-making: Breakdown of data value chain
Client insights scoping series: Note 2. This note is based on desktop research on the existing body of knowledge on the use of data and analytics [...]