Great Expectations : How to Detect and Prevent Fraud using Data Analysis

Using Data Analysis for Fraud Detection

1. Test against 100% of transactions

2. Automate testing to enable: – Continuous assessment of problem areas – Scheduled repetitive monitoring of other risk areas – Increased efficiencies in identifying indicators of fraud

3. Access and relate data from virtually any source – Internal or external to organization – Without moving sensitive data outside of the secure data center

4. Identify where automated system-based controls: – Are not functioning effectively – Do not apply to the business process (manual controls only)