Understand how successful financial services, banks and retailers are using graph technology and embedding intelligence to quickly identify risk and fraud patterns as they evolve. Fraudsters are now using more sophisticated and dynamic methods for credit card, money laundering and other types of fraud. Leveraging graph technology will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Hear how to maximize time and resources with graph technology vs. traditional approaches.
- Detection and anomaly identification – Discuss ROI, time and the value of early detection.
- Progressive disclosure – See millions of data points in a human-friendly view with the ability interactively drill into details.
- Scoring and use of algorithms – Learn about the creation of scorecards and risk calculations from multiple data sources.
- Visual representation – Find out how relatable visual screens and dashboards can enable real time diagnostics and identity risks, anomalies, hot spots and the need for human interaction.
As Chief Revenue Officer, Scott is responsible for Expero’s sales, marketing and strategic business development efforts. On an average day, you’ll find him on the phone, at the whiteboard, or just gesticulating wildly in someone’s office. Scott is skilled at distilling the Expero team’s vast knowledge and experience into manageable, accessible and cohesive buckets.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.