We propose a number of the most significant variables, which, as a rule, are absent from most Microfinance organizations and Banks
Solution
Data enrichment
We will increase GINI by 1-4 points by including biometric and geographic data packages
up to 5%
the possibility of improving the accuracy of model classification
up to 15%
the possibility of increasing net profit
Enriching the data of scoring models will help
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Improve classification/scoring accuracy -
Reduce the risks of fraud -
Increase the marginality of the credit pipeline
A complete package for extracting biometric variables is available as part of the service
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Library of Geographical variables -
Help for including macroeconomic metrics in scoring -
Package of 3 staff consultations
Guarantee
If, as a result of the introduction of GEO and biometric packages, the growth of GINI is less than 0.3%, we will make a full refund.
The cost of the service
12 000 $