Allianz Benelux Taps into Modern Data Management to Combat Fraud and Foster a Positive Customer Experience
By Finance Digest - December 30, 2020
Explore: Banking Fraud • Financial Fraud Detection • fraud prevention • Fraud Rings • graph technology
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • Python
Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud
By David Penick
April 27, 2020 2 mins read
Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: AI / Machine Learning • blog • cypher • data lakes • data science • Financial Fraud Detection • Fraud Rings • Graph Algorithm • graph database • graph technology
Graph Algorithms in Neo4j: How Connections Drive Discoveries
By Bryce Merkl Sasaki
April 9, 2018 4 mins read
Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →
Explore: ACID • Connected Data • data integrity • Fraud Rings • graph algorithms • graph analysis • Graph Analytics • Graph Theory • label propagation • PageRank
Fraud Prevention with Neo4j: A 5-Minute Overview
By Bryce Merkl Sasaki
April 21, 2017 5 mins read
Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →
Explore: credit card fraud • data science • ecommerce fraud • financial services • fraud detection • fraud pattern • fraud prevention • Fraud Rings • Insurance Fraud • pattern analysis
Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]
By Bryce Merkl Sasaki
May 16, 2016 < 1 min read
Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Read more →
Explore: bank fraud • ecommerce fraud • fraud analytics • fraud detection • Fraud Rings • Graph Databases • infographic • Insurance Fraud • neo4j • organized fraud
Standard IT Can’t Help Against ‘Cash for Crash’
March 23, 2016
Explore: bobsguide • emil eifrem • fraud detection • Fraud Rings • Fraudsters • Insurance Industry