The document discusses the advantages of Neo4j, the leading native graph database, in enhancing network and IT operations through its ability to leverage data connections in real-time. It highlights use cases across various industries, including retail and finance, and outlines Neo4j's benefits in improving operational efficiency and decision-making. Key topics include the performance, stability, scalability, and integration capabilities of Neo4j, along with customer testimonials and adoption metrics.

1. The Future of
Network & IT Operations
Products with Neo4j

2. Why is This Important?

3. Connections in Data
Ability to Leverage Connections

4. Connections in Data Ability to Leverage Connections
Function of Time Choice of Technology

5. NODE
RELATIONSHIP

6. NODE
RELATIONSHIP

8. Case Study: The Consumer Web
C
34,3%B
38,4%A
3,3%
D
3,8%
1,8%
1,8%
1,8%
1,8%
1,8%
E
8,1%
F
3,9%

9. Jeff Morris
Head of Product Marketing @ Neo4j

10. Product Manager Engineer
Time-to-market: How
fast can we embed
Neo4j in our software?
How is Neo4j’s stability
& performance?
Will embedding
Neo4j add several X
more value?
What is Neo4j’s track
record? Who are the
reference customers?
Can we trust Neo4j with
a long term
partnership?
Does Neo4j give us
capabilities to solve
“new” problems?
How easy is Neo4j to
maintain & upgrade?
How does integrations,
API’s, and reference
architecture look?
Is the support and
training sufficient to
fit our needs?
How does clustering
& scalability work in
Neo4j?
How easy is it to get
started with Cypher
Query Language?
How is the backwards
compatibility in Neo4j?

11. Intro to

12. Neo4j is the World’s Leading
Native Graph Database.

13. Neo4j is the World’s Leading
Native Graph Database.
We provide a technology that
gives any organization the
ability to leverage connections
in data

14. Neo4j is the World’s Leading
Native Graph Database.
We provide a technology that
gives any organization the
ability to leverage connections
in data — in real-time.

15. Unlike other database
models, Neo4j connects
data as it stores it

16. Unlike other database
models, Neo4j connects
data as it stores it

17. Unlike other database
models, Neo4j connects
data as it stores it

18. Index-free adjacency
ensures lighting-fast retrieval
of data and relationships

19. End users
Visualization
Tools
Analysts
Data-
Scientists
Powering Applications at
Internet Scale in Real-
Time
Powering Analytics &
Business Intelligence
Transaction
Data

20. Difference with other Prominent
Database Technologies

21. Good for discrete problems
Insufficient for connected
problems
RDBMS

22. Data lake
Good for Analytics, BI, Map Reduce
No holistic view, Slow Queries
RDBMS

23. How Neo4j Fits

24. GRAPH DB
Load Data
RELATIONAL DB

25. GRAPH DB
Load Data
RELATIONAL DB

26. RELATIONAL DB DOCUMENT STORE WIDE COLUMN STORE DOCUMENT STORE RELATIONAL DB KEY VALUE STORE
Data Stored in Disparate Silos

27. Neo4j Adoption

28. “Forrester estimates that over
25% of enterprises will be using
graph databases by 2017.”
Forrester Research, 2014

29. >50%of the Global 2000 are
Using or Piloting Neo4j!
As of today

30. Adoption Highlights
Retail
7 out of top 10
retailers in the world
Finance
12 out of 25 top
financial services firms
8 out of top 10
software vendors
Software
(As per 2017)

31. Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Graph-Based
Search
Identity & Access
Management
Common Graph DB Use Cases

32. The Future of
Network & IT Operations
Products with Neo4j

34. Mesh
Router
Gateway
Router
Router
Router
Mesh
Router
Router
Router
Mesh
Router
Gateway
Access
Point
CPU
CPU CPU
CPU
Mobile
Mobile Mobile
Mobile
Base Station
CPU
CPU
CPU
CPU
Access Point

35. Complexity of Providing Network Services

36. Services
(e.g. route a call, play a movie)
Operational Tasks
(e.g. upgrades, reconciliation)
Key Systems
(e.g. Oracle, SAP)
Assets
(e.g. routers, servers)
Cross Domain Dependencies
Complexity of Providing Network Services

37. Complexity of Providing Network Services
Common Scenarios
• Vulnerability and impact
analysis
• Asset management and
technical debt analysis
• Dynamic SDN configuration
and mgmt.
• Dynamic load and route
mgmt.
• Multi-channel contact routing
and mgmt.
• Contact center mgmt.
Services
(e.g. route a call, play a movie)
Operational Tasks
(e.g. upgrades, reconciliation)
Key Systems
(e.g. Oracle, SAP)
Assets
(e.g. routers, servers)
Cross Domain Dependencies

38. ?
?
?
?
? ?
Lack of Visibility
• Time consuming to discover and map
cascading dependencies
• Difficult to correlate cross domain impact
• Inconsistent to poor customer experience

39. Cluster
ServerDatabase
Database
Router
Router
Switch
SwitchSwitch
Graph Model
Naturally Captures Relations
Use a Network-Natural Approach
Router
• Impact & root cause is readily apparent across
network
• Correlations are intuitive
• Customer experience can be modeled
?
?
?
?
? ?
Lack of Visibility
• Time consuming to discover and map
cascading dependencies
• Difficult to correlate cross domain impact
• Inconsistent to poor customer experience

40. Ryan Boyd
Developer Relations @ Neo4j
Neo4j DEMO

41. A Real-World Telecom Scenario

42. Dynamic Call Routing
Routing
Engine
Switch
< 100 Milliseconds
Thousands of
calls per second
Least Cost
Routing
Capacity
Routing
Feature
Routing
Dynamic Balancing
for each call

43. Routing
Engine
Locations & roaming
Ported numbers
Special requests
Cost of transport
Alt. Carrier agreements
Tariffs or fees
Time of day
Priority Traffic
Special services:
Ringback
Simultaneous ringing
Inbound call rate
Load allowances
Quality indicators
Risk metrics
Least Cost
Routing
Capacity
Routing
Feature
Routing
<100 Milliseconds

44. Drastically Reduce Time to
Routing Recommendation
Alternate
Carrier$
Tariffs /
Fees
$
Transport
Priority
Traffic Special
Services
Risk
Call
Rates
Load
Allowances
Quality
Indicators
• Offer your customers more intelligent
routing with time for more variables
• Lower CAPEX requirements
• Potential to reduce latency with smaller routing
solutions nearer to switches
Time of
Day
Routing
Engine

45. Neo4j Opens the Door for New Opportunities
Add
Historical
Traffic PatternsLeast Cost
Routing
Capacity
Routing
Feature
Routing
Add
Call Detail Records
• Offer what-if analysis
• Assist customers with predictive
modeling
• Look for opportunities for contract
negotiation

46. Query for Call Routing
Router
Switch
Caller
Switch
Router
Switch
Caller
Router
Router
Router
Switch
Router
Router

47. Router
Switch
Router
Switch
Caller
Router
Switch
Router
Router
Query for Call Routing
cost: $.0014
features: hasRingBack
cost: $.0012
features: hasRingBack
cost: $.0018
features: hasCustomTones
packetLoss: 0.002
cost: $.0018
features: hasVideo
cost: $.0018
features: isVoip

48. Query for Call Routing
Router
Switch
Router
Switch
Caller
Router
Switch
Router
Router
cost: $.0014
features: hasRingBack
cost: $.0012
features: hasRingBack
cost: $.0018
features: hasCustomTones
packetLoss: 0.002
cost: $.0018
features: hasVideo
cost: $.0018
features: isVoip
MATCH (from:Switch{id:’A’}), (to:Switch{id:’Z’})
CALL apoc.algo.dijkstra(
from,
to,
‘ROUTE’,
{hasRingBack: true, capacityRemaining > 0.05, packetLoss < 0.0003},
‘cost’) yield path as path, weight as weight
RETURN path, weight

49. Query for Call Routing
Router
Switch
Caller
Switch
Router
Switch
Caller
Router
Router
Router
Switch
Router
Router

50. Building Customer Products
with Neo4j

51. Your Engines
& Algorithms
Customer
Facing Apps
Native Graph
Databases
Customer
Data Sources
Product Models with Neo4j Inside
Real-Time Capabilities
Next Gen. CMDB
Snapshots:
Modeling & Predictive
VisualizationImpact
Analysis
Recommendations
Metering
Decisioning
Variance
Analysis
Rules
Engine
Complex Event
Procedures
APIs & Drivers
Data Ingest
CMDB
Assets Data
Network
Monitoring Data
Application
Monitoring Data
Bus. Process
Monitoring Data

52. • Network traffic mgmt.
• Dynamic configuration mgmt.
• What-if analysis & predictive modeling
• Entitlement mgmt.
• Customer experience mgmt.
• Billing mgmt.
• SLA monitoring
• Trouble ticket mgmt.
• Fault and event mgmt.
• Performance mgmt.
• QoS mgmt.
• Risk mgmt.
• Cost analysis and mgmt.
• Planned vs actual analysis
Network & IT
Ops Customer
Use Cases
To name a few…

53. Differentiate Your Solutions
Uncover hidden
patterns and
knowledge
New Market
Opportunities
Integrate silos and
make sense of
complex networks
Enhance
Products
Add, remove or make
changes with no
downtime
Quickly
Iterate
From minutes to
milliseconds
Performance At
Scale

54. All data elements and
relations in a native
graph database
Streamline
Execution
Get To Market Faster
Data models
represent real-world
business
Prototype
Faster
Often in less than
one week
Rapid
PoC
Support, active
community and thriving
APOC
Expertise
at Scale

55. 8 of the top 10
software vendors
Software
3 of the 5 largest
telecom hardware vendors
Telecom
Industry Proven

56. Top solution providers embed Neo4j
“We tried doing our work with RDBMS, but found that the
queries were just going too slowly.”
— Peter Walker, Cisco
“Neo4j ’s flexibility with data connections allows
customers to import all of their connected data, see the
richness in the data relationships, understand different
patterns and get insights from their data.”
– Chuck Kane, Director of Global Solutions Pitney Bowes

57. Ecosystem Matters
Flexible OEM
pricing models
Dedicated
OEM support
Years of Experience
working with
partners and OEM

58. Let’s Do Great Things Together
neo4j.com/partners/oem-partner/
oempartners@neo4j.com
neo4j.com/partners/
partners@neo4j.com

59. Thanks!