• Finding prediction characteristics with models to reduce the number of questions to be answered by applicants
• Accurate credit risk assessment of applicants for interest rate determination
• Frequent technical difficulties due to difficulties in model deployment, operation, and maintenance
• Reduced the number of questions to be answered by applicants to raise the application rate
• Lowered the bad debt rate through accurate risk assessment to increase lender profit
• Accelerated model deployment for timelier prediction
• Reduced IT staff workload with easier deployment, operation, and maintenance
Full report:Harmoney and DataRobot Drive Innovation in Australasia’s Personal Loan Market