Banco do Brasil S/A
Contact: Marcus Vinicius Ferreira Ramos Moraes
Country: Brazil
Award Category: Innovative Problem Solver
Tell us about the business problem you were trying to solve.
Our project aimed to address a critical problem faced by the bank: the identification of fraudulent companies applying for credit. Credit fraud can result in significant financial losses and compromise the integrity of the banking system. To tackle this challenge, we conducted a detailed survey of relevant variables that could demonstrate the similarities between fraudulent companies. This survey allowed us to identify common patterns and characteristics among these companies, facilitating early fraud detection and the implementation of more effective preventive measures.
What SAS products did you use and how did you use them?
SAS Enterprise Guide
What were the results or outcomes?
The result of the work was the creation of tables and dashboards that allowed us to identify common patterns and characteristics among these companies, facilitating early fraud detection and the implementation of more effective preventive measures. Additionally, we created 7-level score-based markings, considering the accumulated score of 35 variables derived from the original table. This allowed the identification and marking of corporate clients that may present a higher business risk for Banco do Brasil, considering the listed variables and aiming to implement actions that can reduce the risks of operating with them.
Why is this approach innovative?
This approach is innovative because it combines detailed analysis of relevant variables with the creation of visual tools, such as tables and dashboards, that facilitate the identification of common patterns and characteristics among fraudulent companies. The use of 7-level score-based markings, considering the accumulated score of 35 variables, is an advanced technique that allows for a more accurate assessment of business risk. This methodology not only improves early fraud detection but also enables the implementation of more effective preventive measures, significantly reducing risks for the bank. Additionally, the ability to identify and mark high-risk corporate clients based on concrete and objective data represents a significant advancement over traditional approaches, which often rely on subjective and less structured analyses.
