CASE Study 1

Decision Making for Credit Approval

Challenge: Improper approval and rejection for credit card approvals resulting in bad debt and low customer satisfaction.

Solution: Genexia’s platform allows credit card companies to quickly evaluate applications.

Result: 87% accuracy

Data concerns with credit card applications. Data had a good mixture of continuous, nominal with small numbers of values, nominal with larger numbers of values. There are also a few missing values. The objective of the model was to predict whether to approve or reject credit card applications based on 15 attributes. Dataset consisted of 690 datapoints.

Our AI solution was able to accurately predict 87% of the credit card applications

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