Its why their emphasis is skewed on collecting more data from individuals
Mobile phone
Mpesa
Airtime habits
Data bundle habits
SIM card data etc /2
This is V significant for a market like Kenya and arguably East Africa /3
Merry Go round
Savings
Insurance
Investment Club
Traders
Cooperative
Causes /4
Fraud (SIM/Identity)
Default rates
Looking for New Markets (originate new loans)
Competition for digital lending apps by (banks)
Cost of borrowing (price vs risk) How to price accurately /7
Purpose lending (do you know where money is going hint: they dont)
Economic slowdown, less money in people's pocket
Calls for Regulation of digital lender
Too much focus on digital data/online, no clue what is going on offline
Privacy of data /8
Chama identity - you cant steal someone's chama Identity
Lower default because of social pressure from group (these are people you work with or meet everyday) /9
Banks haven’t encroached the chama market
Lending to individuals via chamas reduces risk of default (social pressure, guarantees)
Lend to professional chama groups - boda boda, mama biashara (inventory) /10
Chamas give you a better grasp of offline biashara b/c chamas are last mile
Privacy - group privacy & identity means Chama owns records/data
New products - insure-tech (emergency/burial chamas) /11
eg
Women's Chama group in ruiru accesses group insurance from Britam via group aggregators (ECLOF) /12
Cross chama lending /14
I believe this will unbundle
New data
New markets
and
New digital products/services /n