The article discusses how to develop and implement intelligent credit scoring systems. It outlines a step-by-step process, from planning and data review to database creation and final production. The researchers emphasize the importance of data quality, segmentation, and validation in creating effective credit risk scorecards. The goal is to help businesses make informed decisions about lending by using data analysis to predict credit risk accurately.