In the dynamic field of fraud detection, utilizing network analytics empowers our customers to delve into the intricate relationships and patterns within networks, including financial transactions, customer interactions and digital connections. By harnessing the power of network analytics, organizations gain the ability to identify suspicious behaviors and anomalies that may signify fraudulent activities. Additionally, the network enables the discovery of concealed relationships, exposing fraud rings and facilitating the proactive detection of emerging fraud trends. In this presentation, we will showcase how network analytics can play a vital role in detecting and addressing bias and ensuring fairness throughout data-driven strategies, particularly in the digital loan origination process. We will demonstrate how customers can leverage the visual network capabilities of SAS® Visual Investigator to conduct counterfactual analysis, employing this tool to mitigate bias and evaluate fairness.
