What Finance Can Learn From Dating Sites

Explore how finance can leverage insights from dating site technologies in this 44-minute conference talk from GOTO Chicago 2015. Delve into the world of graph databases and their applications in both dating and financial sectors. Learn how sophisticated data analysis techniques used by dating sites like Match.com and Zoosk can be applied to finance for tasks such as risk analysis, fraud detection, and portfolio analytics. Discover the power of Cypher query language and how it can be used to create nuanced portraits of customers and financial relationships. Examine real-world examples of graph applications, including friend networks, passion graphs, and payment graphs. Gain insights into privacy concerns, identity management, and security in graph databases. Understand the advantages of graph databases over traditional relational databases in terms of performance and flexibility. Walk away with practical knowledge on how to implement graph-based solutions in financial contexts, including recommendation engines and master data management.

Intro
Who am I
This talk is about graphs
Who owns the graphs
Graphs of love
Meet Jeremy
First Steps
Good Friends
Friends Graph
Graph Databases
Cypher
Passion Graph
Privacy
Traits
Location
Chicago
Location Matters
The Graph
Liars
Jake
Jonathan
Evidence
Spam Graph
BOTS
Professionals
Finance
Payment Graph
Demographics
Risk Analysis
Consumer Graph
Hierarchy
Fake Phone Numbers
Fraud Detection
Speed
Identity Management
Access Control
Security Graph
Portfolio Analytics
Cyber Query
Master Data
Twitter
Model W
Summary
Recommendation Engine
Human Centipede
Filtering Recommendations
Movie Recommendations
Why Graph Databases
No Sequel Databases
Performance
Takeaway