Graph Databases for MDM - GraphTalk Atlanta Sept 8, 2016

1. 360° VIEW OF EVERYTHING
Graph Databases for Master Data Management

2. Agenda
Your Master Data is a Graph
Challenges with Current Solutions
How Graphs Can Help
Case Studies
Summary

3. Your Master Data is a Graph

4. Customer Data
W
ITH
PERSON
BANK
HAS
CHECKING
ACCOUNT
ADRESS
LIVES_AT
PHONE#
PROVIDER
REGION
Email
Customer Graph

5. HAS
HAS
CLOTHES
BRAND
CATEGORY
PRICE
SIZE
FABRIC
FACTORY
SUPPLIER
Product Data
Product Graph

6. Supply Chain Data
EXPRESS
LOCATION
ROAD
FLIGHT
PRODUCT
TYPE
REGION
FACTORY
Supply Chain Graph

7. KNOWS
KNOWS
KNOWS
WORKS_AT
WORKS_AT
WORKS_AT
COMPANY
STANFORD
STUDIED_AT
KNOWS
NEO
COLUMBIA
STUDIED_AT
STU
D
IED
_AT
STUDIED_AT
NAME:ANNE
People Data
Employee Graph

8. Customer Graph
Customer
Adress
Store
Phone
Customer
Email
EmailAdress
Phone
Product
Product
Category
Y
Street
Region
Product
Store
Street
Category
X
Product Graph
Supply Graph
Power of Graphs - Unlock the power of Master Data
Real-time product
recommendations
Fraud Detection
Real-time supply
chain management
Risk Management

9. Challenges within existing Master Data Management
Silos - Different repositories for Customer, Product, Supplier
Data is stored in tables and columns making it difficult to leverage
relationships and interactions
Inflexible - Harder to add or modify new data and interactions.
Slow - Unable to use master data relationships in real-time
operations due to performance issues.

10. How Graphs Can Help

11. 1. Build a meta-data (reference data) repository
2. Build a graph-based Master data repository
Graph Database for Master Data - Two Design Patterns

12. id:C2id:C2id:C3id:C4id:C5
id:C6
id:C7
Customer MDM
Product MDM
Supplier MDM
STEP ONE:
Use your existing
data-storage
STEP TWO:
Create a graph with just ID and location
for each master data element

13. id:P1id:P2id:P4
Customer MDM
id:C2
id:C2
id:C3
Product MDM
Supplier MDM
id:C4
id:C5
id:C6
id:C7
STEP TWO:
Create a graph with just ID and location
for each master data element

14. id:S1id:S2
Customer MDM
id:P1 id:P2
id:P4
id:C2
id:C2
id:C3
Product MDM
Supplier MDM
id:C4
id:C5
id:C6
id:C7
STEP TWO:
Create a graph with just ID and location
for each master data element

15. Customer MDM
id:P1
id:S1
id:P2
id:P4
id:C2
id:C2
id:C3
id:S2
Product MDM
Supplier MDM
id:C4
id:C5
id:C6
id:C7
STEP TWO:
Create a graph with just ID and location
for each master data element

16. Customer MDM
id:P1
id:S1
id:P2
id:P4
id:C2
id:C2
id:C3
id:S2
Product MDM
Supplier MDM
id:C4
id:C5
id:C6
id:C7
STEP THREE:
Query the meta data graph for relationships
and take the resulting id and corresponding
location information to fetch the actual data

17. “How Adidas is using Neo4j to deliver the most relevant
and compelling content to its consumers”
adidas
Case Study

18. “We speak different languages across domains”
CONTENT DIGITAL
ASSETS
ANALYTICS MASTER DATA
CONSUMER
DATA
PRODUCT DATA SOCIAL BIG DATA
Adidas’ Data Silos

19. PAUL POGBA
JUVENTUS
SOCCER
CONTENT
MEN
ITALY
CAMPAIGN
CONTENT
JERSEYFeatures Athlete
Plays
For
Features Campaign
Features Product
Related Content
For Market
For Gender
Features Sports Category
Content Graph

20. Shared Metadata Service
360° View of Customer
CONTENT
PRODUCT
DATA
MASTER
DATA
BRAND ASSET
DATA
adidas.com
CRM
Wholesale
Retail
Big Data

21. Correlate multiple type of master data to produce real insights
Time to value — no new system needed. You can work as is.
Dynamic – add/change to fit the particular requirements of your business
Make relationship data available in real-time to gain more ROI from your
existing Master Data.
Benefits with this approach

22. Learn more about this
use case, visit the
Neo4j Youtube-channel

23. 1. Build a meta-data (reference data) repository
2. Build a graph-based Master data repository
Graph Database for Master Data - Two Design Patterns

24. Case Study

25. • Needed to reimagine existing system to beat
competition and provide 360-degree view of
customers
• Channel complexity necessitated move to
graph database
• Needed an enterprise-ready solution
Business Problem
Background
• Connecticut-based leader in digital marketing
communications
• Helps clients provide omni-channel experience
with in-context information
• Channel complexity necessitated move to graph
database
• Leapfrogged competition and increased digital
business by 23%
• After launch of new MDM built on Neo4j, PB
stock declared a “Buy”
• Handles new data from mobile, social
networks, experience and governance
sources
Solution & Benefits

26. Other examples of
customers using
Neo4j for MDM

27. Summarizing

28. “Emerging MDM vendors coming to market are investing in
graph databases for their MDM repositories.These graph
repositories help MDM better connect conceptual master data
models with logical models and provide further flexibility,
agility, and scale that RDBMS repositories often constrain.”
— Forrester Wave, Master Data Management

29. View of Everything
360°

30. 360° View of customers

31. 360° View of products

32. 360° View of payments

33. 360° View of supply chain

34. Data is connected
360° View of everything

35. Thank you!