Automated Credit Scoring Using Digital Data

This digital finance topic examines the technological aspects for financial institutions who want to design and implement automated credit scoring. By reviewing the webinar materials, users can gain insight into the feature types (mobile, e-mail network, and social media data) used to build predictive features that may help approve more applicants and reduce risk by combining traditional data with new data to improve existing score cards and complement traditional underwriting tools. The presentation highlights which sets of data to digitize for smallholder farmers.

This webinar recording is part of AgriFin webinar series for agricultural finance practitioners and is part of a two-part webinar series with Lenddo which focuses on critical technical aspects for financial institutions wishing to learn more about utilizing digital financial services to improve their efficiency and expand their client outreach. It follows from our introductory webinars on the opportunities for banks to expand their financing of agricultural clients using digital financial services

Presenter(s):

Florentin Lenoir, Marketing and Business Development Director at Lenddo