Monday, June 24 | 3:35-4:50 PM
CPE: 1.5
Level: Intermediate
Recommended Prerequisite: Knowledge of data analysis and data visualization
Field of Study: Specialized Knowledge
Anti-fraud analytics have evolved from asking simple, rule-based questions of data, to letting the data tell a story through visualization, predictive models, anomaly detection, pattern recognition and text-mining techniques. Data visualization
serves as a digital art form that can intuitively display connections in your data and help you zero in on bad actors. In this session, you will discover how data visualization leveraging simple tools can help your organization prevent and
detect fraud more effectively.
You Will Learn How To:
- Determine what data visualization is and how it can be used to prevent and detect fraud
- Identify the different tools that can be leveraged for data visualization
- Recognize and apply best practices for data visualization
- Recognize the benefits of data visualization in preventing and detecting fraud