graphconnect 2014 sf: using graphs for next-gen master data management at pitney bowes

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Using Graphs for Next Generation Master Data Management Aaron Wallace Global Product Manager Pitney Bowes Software @aaronw_pb SAN FRANCISCO | 10.22.2014 powered by

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GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

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Page 1: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

Using Graphs for Next Generation Master Data Management

Aaron WallaceGlobal Product ManagerPitney Bowes Software

@aaronw_pb

SAN FRANCISCO | 10.22.2014

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Page 2: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Consume Search

IntegrateVisualize

Complete View of Individual InteractionsSingle view of Individual

+ relationships+ all interactions

Transactional Information with Business Applications

Interactions Information from Social Media

Sales, Billing, Customer center, Support, etc

Applying analytical capability to create insight

Insights

Explore Data

Predict

Optimize Interactions

Complete View of Individual Interactions

Single view of Individual + relationships+ all interactions

Transactional Information with Business Applications

Interactions Information from Social Media

Sales, Billing, Customer center, Support, etc

Single View of Individual

Relationships

Products and services Purchased

Household Relationships

OrganizationalRelationships

LocationRelationships

Social Network

Single View of Individual *

* Individual could be a customer, prospect, victim, terrorist, etc

Data integrationData cleansing (data quality)Data supplementation (Reference data)Data enrichment (geocoding)

Page 3: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Page 4: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Choosing Graph and Neo4j

• Started with graph databases and Neo4j in 2010

• Early prototypes revealed key differentiators for MDM space

• Why Neo4j?• Java• Multi-platform• High Performance• ACID • Market Leader

Page 5: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Neo4j Implementation – Pitney IP

• Visual schema management• SOAP/REST web services• Security features• Visual Query builder• Integration with Spectrum dataflow• Maintain entity/relationship counts• Concurrent access

• Multiple access modes• Automatic deadlock recovery/retry

• NLP-inspired model browser• Audit and history (Q1 2015)

Page 6: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Best of Suite Information Management• Platform approach must

account for all key CIM functions

• Data Quality

• Data Integration

• Data Enrichment

• Master Data Management

• Data Governance

• Predictive Analytics

Page 7: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Validation by Industry Analysts

“The Spectrum MDM solution provides a unique & innovative approach to the MDM market.” Bill O’ Kane, Gartner, Inc.

• “Intuitive graph-oriented modeling for complex, connected data.”• “OOTB big data support

with built-in analytics.”Aaron Zornes, MDM Institute

“This new entry … brings an innovative approach how MDM can be applied to novel use cases that is based on technology rather than the PowerPoint-heavy but technology-lite approach of some existing offerings.”Andy Haler, The Information Difference

“Those looking at a new generation of data management that is integrated and uses discovery and analytics should consider Pitney Bowes Spectrum.”Mark Smith, Ventana Research

Page 8: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Demonstration - Spectrum

Page 9: GraphConnect 2014 SF: Using Graphs for Next-Gen Master Data Management at Pitney Bowes

SAN FRANCISCO | 10.22.2014

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Thank You