Auto insurance fraud costs companies millions each year, but with advanced tools like DataWalk, you can detect and prevent fraudulent claims more effectively. This system enables you to create and fine-tune scoring rules based on expert models, machine learning, and social network analysis. From filtering large claims to spotting connections between agents and suspicious clusters, DataWalk provides a clear visual representation of data, helping analysts quickly triage and reduce false positives. Key features include real-time data customization, cross-referencing datasets, and auto-suggestions for fraud investigation steps.