This case study explores one company’s experience developing psychometric tests as an alternative method for credit scoring and a microfinance institution's experience implementing it.
Richard is a smallholder maize farmer in Western Kenya. He used to borrow money from his family or friends to buy essential inputs to grow maize—seed, fertilizer, and equipment—because he couldn’t access a formal loan from a bank. Most banks consider him a high risk client because of his low-income and lack of credit history. Recently though, Richard obtained a $50 loan for his farming business. By processing and analyzing satellite imagery on his farmland and cropping cycle, in combination with other alternative data, a lending organization was able to assess his creditworthiness.
Two agriculture FinTechs integrated satellite imagery into their business models and product offerings, illustrating the promise and limitations of big data in financial services.
This guest blog was jointly authored by Marissa Dean (FiDA) and Jake Kendall. Jake Kendall is the Director of the Digital Financial Services Lab (DFS Lab), an early-stage accelerator delivering innovative fintech solutions to the developing world.
Every minute of every day millions of users in Africa create digital data. This new data is creating opportunities for alternative “big data” to catalyze an expansion of financial services to low-income and hard to reach populations. FiDA’s Snapshot 9, “Best Practices in Big Data Analytics” and FiDA’s Focus Note, “Can Big Data Shape Financial
We share how FinTechs, telcos, and banks in East Africa are leveraging their extensive datasets and what the marketplace for this information looks like.
This “deep dive” provides details about leading organizations in the digital finance space with a focus on how they use data and analytics in their businesses.
Snapshot 9: “Best Practices in Big Data Analytics” is one of 16 learning themes designed to address a range of topics within the digital finance space. The FiDA Partnership synthesizes, and disseminates the digital finance community’s knowledge of each of these learning themes as “Snapshots” that cover client, institution, ecosystem, and impact level topics. The