- log in
Adding social network, geolocation, IAM logs, text analytics and link analytics Big Data to the arsenal of Fraud Management
Posted by Andras Cser on May 1, 2013
A common theme during this week's SAS and FICO user conferences was how to use Big Data to make fraud decisions faster, more accurately and without impacting the customers in any negative way.
Big Data is basically about 3Vs: Volume, Velocity and Variety of data to gain veracity and value in fraud management. Volume and Velocity are nothing new: fraud management products have long been capable of analyzing terabytes of data in billions of transactions - in real time.
What's really new for Fraud Management about Big Data is Variety. Using all types of new information to make better decisions with lower false positive rates. The new data sources that are increasingly used in Fraud Management are:
- Social network data. Has this user been writing about committing fraud on Facebook? After seeing how dumb some criminals can be, this data source is pretty important.
- Geolocation of a mobile devices. The fraud management system should warn ahead of time if a user has been in the same location as the ATM when he/she used her ATM card to empty her bank account)
- Identity and Access Management systems logs. The fraud management system should warn ahead of time if the authentication system in front of my customer facing system see any evidence of the user logging in from a risky geography or from a new device before the user emptied their bank online by making unauthorized transfers to a mule account)
- Textual and unstructured data. The fraud management system should warn ahead of time if, for example, a medical provider or insurance adjustor is always using the same combination of terms of "suture removal" or "rear hit accident" in suspicious contexts or just in an excessively repeated way)
- Link analytics data. Using link and entity graphs beyond just oogling and link analytics risk score that can be injected into a holistic fraud score is something that can help identify fraud rings and collusion much faster.
Integrating the above data sources is clearly what we are seeing SAS, FICO currently working on. Expect to see fraud management products in 2013 that will offer the above features out of the box.
Search Forrester's Blogs
Forrester Insights for iPhone
Key research and data points when and where you need them »
Lead BT Transformation
Develop customer-obsessed strategies to drive growth »
Forrester's CX Index
Predict how actions to improve CX will affect revenue performance.
Measure the customer experiences that matter most »
- Andras Cser (47)
- Chris McClean (58)
- Christopher Sherman (7)
- Enza Iannopollo (2)
- Heidi Shey (21)
- Jeff Pollard (1)
- John Kindervag (28)
- Joseph Blankenship (1)
- Laura Koetzle (2)
- Merritt Maxim (6)
- Nick Hayes (14)
- Peter Cerrato (1)
- Renee Murphy (9)
- Rick Holland (45)
- Stephanie Balaouras (78)
- Tyler Shields (24)