Versicherungsbetrug mit Graphtechnologie unter die Lupe nehmen
By Zeitschrift für Versicherungswesen - December 1, 2022
Explore: fraud detection • graph database • Insurance Fraud
Zurich Schweiz sieht Betrug mit einem Blick
By Computerworld - June 22, 2022
Explore: fraud detection • Insurance Fraud • Insurance Industry • Zurich Insurance • Zurich Schweiz
Versicherungsbetrügern auf der Spur
By Vb Versicherungsbetriebe - November 29, 2021
Explore: fraud detection • Insurance Fraud • Insurance Industry • Zurich Insurance
Allianz Benelux is Using Graph Technology to Beat Fraud and Boost Customer-Centricity
By Finance Derivative - December 3, 2020
Explore: Allianz Benelux • Financial Fraud Detection • fraud detection • graph database • Graph Database Technology • Insurance • Insurance Fraud
Wer Kunden schützen will, braucht Daten
By vb Versicherungsbetriebe - November 27, 2020
Explore: Allianz Benelux • fraud detection • Graph Database Technology • Insurance • Insurance Fraud • Insurance Industry
How Advanced Analytics Is Helping to Flush Out Insurance Fraud
June 5, 2019
Explore: Analytics • Insurance Fraud • Insurance Industry
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
Detect & Investigate Financial Crime Patterns with Linkurious
By Bryce Merkl Sasaki
October 7, 2016 5 mins read
Linkurious is a Bronze sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Using Graphs to Fight Financial Crime Financial crime can take many forms: money laundering, terrorism funding, corruption, tax evasion, insurance… Read more →
Explore: AML • anti-money laundering • cypher • financial crime • fraud detection • Geospatial • Insurance Fraud • Linkurious • tax evasion • terrorism funding
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
From the Neo4j Community: March 2016
By Bryce Merkl Sasaki
May 2, 2016 4 mins read
Whew! With GraphConnect Europe now behind us, it’s time to look at all of the wonderful content published by the Neo4j community in the month of March before the Neo4j 3.0 announcement and Panama Papers coverage eclipsed everything else. If… Read more →
Explore: 3D visualization • Connected Data • cypher • data validation • document database • fraud investigation • graph database • Insurance Fraud • Neo4j Community • Recommendation Engine
Why the Latest “Cash for Crash” Scandal Should Worry Us All
February 23, 2016
Explore: car insurance • cash for crash • Data Relationships • fraud detection • fraud ring • Gartner • graph database • Insurance Fraud • neo4j • relational database
Catching Insurance Fraud Using Graph Database Technology
By Bryce Merkl Sasaki
January 18, 2016 4 mins read
The impact of fraud on the insurance industry is estimated to be $80 billion annually in the US, a number that has been growing in recent years. From 2010 to 2012, questionable claims in the U.S. jumped 27 percent, to… Read more →
Explore: fraud detection • fraud ring • graph database • Insurance Fraud • Network Analysis • relational database • social network analysis • soft tissue injuries • whiplash
Why Modern Fraud Detection Needs Graph Database Technology
By Bryce Merkl Sasaki
January 4, 2016 3 mins read
Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Read more →
Explore: bank fraud • Connected Data • data analysis • e-Commerce Fraud • fraud detection • fraud prevention • fraud ring • graph database • Insurance Fraud • real-time fraud detection