White Paper

Financial Fraud Detection with Graph Data Science

Financial Fraud Detection with Graph Data Science

Specs

By Amy E. Hodler

Available Formats: PDF - EN US, PDF - EN A4, PDF - JP

Summary

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:

Get the White Paper

  • 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.