The challenges of data modeling in credit go beyond technology. They involve practical issues, such as the difficulty of integrating large volumes of data from different sources.
These issues can lead to inaccurate decisions, which harms both netherlands mobile database institutions and consumers. Without structured processes, the reliability of models is compromised and the risk of default increases.
Another significant impact is reduced competitiveness. Inefficient credit models result in risk assessments that exclude good payers or grant credit to unsuitable profiles.