Financial Services & Neo4j: Fraud Detection
By Bryce Merkl Sasaki | June 19, 2017
Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Learn More →
Keywords: Connected Data • cypher • Data Visualization • financial services • Fortune 500 • fraud detection • fraud ring • graph technology • Microsoft SQL Server • relational database
Using Neo4j for Call Detail Records (CDR) Analytics [Community Post]
By Bryce Merkl Sasaki | April 13, 2017
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction Analysis of call detail records (CDR) provides greater insights into the telecommunications activity like inbound… Learn More →
Keywords: Big Data • call detail records • CDR data • churn reduction • cypher • data model • Microsoft SQL Server • telecom industry • telecom provider • telecommunications
Neo4j + AWS Lambda & API Gateway to Create a Recommendation Engine
By Bryce Merkl Sasaki | November 8, 2016
The Challenge of Findability and Why Graphs? Here at the SAVO Group, we are in the business of sales enablement via Software as a Service (SaaS). One of the tools that we provide our customers is the ability to prescribe… Learn More →
Keywords: amazon web services • API Gateway • AWS • cypher • EC2 • Lambda • Microsoft SQL Server • python • real-time recommendation • Recommendation Engine
Introducing GraphAware Databridge: Graph Data Import Made Simple
By Bryce Merkl Sasaki | October 6, 2016
GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction Until now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements… Learn More →
Keywords: csv • cypher • data import • etl • GraphAware • jdbc • json • Microsoft SQL Server • Oracle • relational database
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