Build statistical model to find the leading and lagging indicators of the defaulter customers, also assign a probability score for each customers based on their attributes. This helps in assessing the customers/applicants Credit Risk, releasing loans in caution, identify potential defaulters prior in hands also helps to understand the customer and product profile.