find more fraud with graph data science · fraud is the fastest growing type of fraud1 traditional...
TRANSCRIPT
Synthetic identity fraud is the fastest
growing type of fraud1
Traditional models miss 85% of synthetic
identity fraud2
Financial fraud cost $5 trillion
in 20193
85% $5T
Find More Fraud withGraph Data Science
The Growing Problem of Fraud
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Analyze the network structure of your
data
Investigate yourdata
See clusters and outliers
Graph Algorithms Learn from Your Data's Network Structure
CommunityDetection
Centrality(Importance)
Similarity
HeuristicLink Prediction
Pathfindingand Search
Identify disjointed groups that share
identifiers
Measure influence and transaction
volumes
Measure account similarity or fraud
ring similarity
Find unobserved relationships and add them to your
data
Filter transactions with extremely short
paths between people
Run graph algorithms to reveal patterns in your data
Extract graph features from your data
Train your machine learning models using graph features
Achieve greater predictive accuracy from existing data
Gain predictive accuracy
Find emerging fraud
Increase recovery rates
Graph Data Science Unleashes the Power of Your Data
Improve Fraud Detectionwith Graph Data Science
Business Results
1. McKinsey. Synthetic identity theft is fastest growing type of fraud
2. ID Analytics. Traditional models miss 85% of synthetic identity fraud
3. Crowe UK. Financial fraud cost more than $5 trillion globally