Financial fraud is an increasingly costly problem for every enterprise.
Graph data science turns this problem around by augmenting your existing analytics and machine learning pipelines. The bottom line: Fewer fraudulent transactions and safer revenue streams.
This white paper demonstrates how next-level fraud investigation uses the power of graph technology, including:
- Why current tactics fail to identify all fraud
- Why graph data science boosts fraud detection
- How to improve fraud detection with graph feature engineering
- How graph analytics benefit even non-technical fraud investigators
Fill out the form to get your copy of Financial Fraud Detection with Graph Data Science: How Graph Algorithms and Visualization Better Predict Emerging Fraud Patterns.