Fraud remains a top issue for every person in the country. Federal, state and local governments work hand-in-hand with law enforcement agencies to identify, mitigate and investigate fraud. Data analytics can serve as an important tool in helping these groups improve the effectiveness of their fraud programs. These organizations, though, currently work with an incomplete picture. Some lack data scientist resources to properly analyze the data available to them, while others lack holistic or complete data, adding noise to the analytics process. This session will explore how to extract information using analytics for fraud investigations. It will show how advanced analytics can fill in gaps, how the final product should be consumed, and how investigators can explain their findings or patterns. This session will also show how groups can collaborate to use advanced analytics to tell a story with the data.

You Will Learn How To:

• Identify the different needs across data users
• Foster collaboration across groups
• Understand why having data isn’t the same as having knowledge