Better Insights from Your Master Data - Graph Database LA Meetup

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Master Data Management, is a practice that involves discovering, cleaning, housing, and governing data. Data architects for enterprises require a data model that offers ad hoc, variable, and flexible structures as business needs are constantly changing. We'll be discussing the benefits of using the Neo4j graph database for Master Data Management including the flexible schema free data model, concepts of layering in data, keeping your data current and flowing and then the benefits of connected data analytics and real-time recommendations that can result. An overview of MDM with Neo4j https://www.graphgrid.com/graph-advantage-master-data-management/ The demo portion of the presentation is here: https://youtu.be/_GnDiwngnXk

Data & Analytics

Better Insights 
from Your Master Data
March 22, 2016
Benjamin Nussbaum  
@bennussbaum
www.graphgrid.com | www.atomrain.com

Introduction
Benjamin Nussbaum
20 years of Technology Innovation. 
Software architecture | Database design | Server infrastructure 
President & CTO of AtomRain, 
one of the world’s leading NEO4J Solution Partners  
and makers of GraphGrid.
a platform by

Today’s Meetup Agenda
Better Insights for Your Master Data
• What make graphs so good at MDM?
Graph Basics
• What is a graph database.
• How a graph works.
Graphs for Your Master Data
• Why graphs are good at mastering data.
• Getting your data sources into the graph.
• Mastering your data in the graph.
• Better insights with it all connected.
Q&A

Master Data Management
For customer interests, product lines, store locations, org charts…
For white papers, visit neo4j.com/use-cases/

A Graph Records a New Kind of Data
Semantic Web 
and  
Knowledge Graphs
Enterprises Systems 
and  
Business Transactions
For Business Operations
▪ Business Systems 
generate data.  
▪ Data about Business 
Orders, purchases, invoices, 
customer interactions… 
▪ Static System of Record  
Standard data; change requires 
re-programming. 
CRM 
System
Product
Catalog
Invoice 
System
▪ Connected Customers & Smart
Things 
generate data. 
▪ Data about Real-World  
Concepts, people, places, things, 
and their relationships. 
▪ Dynamic Graph of Knowledge 
Discovers and learns from changing 
data– no re-programming.  
For Connected Experiences

A “Node” 
in the graph
HOTEL
ROOM
PERSON
A Graph Models 
Real-World People, Places, and Things
Solution Partner

An “Edge” 
in the graph
Prefers
HOTEL
ROOM
PERSON
HasAvailable
A Graph Models 
Real-Time Relationships
Solution Partner

Prefers
HOTEL
ROOM
PERSON
“Properties” 
in the Graph
lastStayed: 2-10-2015
Name: Hilton Hotel
Name: Jane Smith
Number: 315
HasAvailable
A Graph Stores and Updates Data 
about Each Thing and its Relationships
Solution Partner

Graph Queries 
Start with one “entity” and traverse the graph  
to discover linked people, places, or things
Query for a Graph
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate,  
count(report) AS Total
NEO4J Cypher Language
“Complex Join” in SQL
Solution Partner

Many Sources. Many Models. 
bringing it all together

Two Financial Institutions
Washington Mutual
JP Morgan Chase

Multiple Accounts
John has Checking and Saving Accounts at Washington Mutual
John has an Investment Account at JP Morgan Chase

An Acquisition Occurs
JP Morgan Chase Acquires Washington Mutual

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