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PUBLIC
Graphing Success
Revolutionizing
Organizational Structure
and Scalability in Banking
with Neo4j
Sudheer Mechineni
PUBLIC
My Journey
Experience with Neo4j
I have been actively involved in utilizing Neo4j to
revolutionize organizational structures and scalability in
banking. Through my extensive experience, I have
witnessed the transformative power of Neo4j in tackling
complex data management challenges within the banking
sector.
PUBLIC
The Challenge of Data
Entitlements
Maintaining Data Access in a Dynamic
Environment
In the dynamic banking environment, ensuring uniform
data access presents a significant challenge. The need to
ensure secure and seamless access to diverse data sets
across the organization is complex and critical to overall
operational success.
Let us delve into the complexities and solutions related to
managing data entitlements within this evolving
organizational landscape.
PUBLIC
Our Org
PUBLIC
First Generation Graph:
Organizational Hierarchy
Modeling Organizational Structure as a
Graph
The representation of the first-generation graph mapped
out the intricate web of organizational hierarchy using
Neo4j. This model transformed how we visualized and
navigated the complex relationships within the bank's
structure.
PUBLIC
PUBLIC
Second Generation
Graph: Operating
Model
Integrating Operating Model with
Business Applications
The second-generation graph delved deeper into the
bank's operating model, illustrating its integration with key
business applications. This comprehensive representation
provided invaluable insights into operational efficiencies
and interdependencies.
PUBLIC
PUBLIC
Technical Insights
Scaling to Millions
Optimisation and
Automation
Best Practices in Using
Neo4j
Managing over 5 million nodes
and 40 million relationships was
a noteworthy feat in achieving
scalability. Employed strong
technical strategies to handle
this substantial volume of data
effectively.
The optimization of data
extraction processes and the
implementation of automated
pipelines for cluster
management significantly
streamlined our operations.
These technological
advancements were pivotal in
maximizing the database's
performance.
Innovative node generation and
dynamic cypher generation
played a crucial role in refining
our graph modeling practices.
These best practices helped us
leverage the full potential of
Neo4j in a banking environment.
PUBLIC
Impact on Business
Entitlements as a
Service (EaaS)
Provided enhanced security and
streamlined access management
by implementing a central data
entitlements solution across
numerous enterprise and
mission-critical applications.
The system's remarkable
adaptability was evident in its
swift response to changes in
organizational structure and
operating models, underscoring
its pivotal role in driving agility
and responsiveness within the
organization.
Fast Reaction to
Organizational Changes
PUBLIC
Trends and Future
Directions
Expanding Central Knowledge Graph and
Data Discoverability
Our future plans encompass expanding the graph
database system to build a central knowledge graph,
augmenting data discoverability for auditors, reviewers,
and business users. This strategic expansion signifies our
commitment for greater insights and integration in the
banking domain.

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GraphSummit Singapore | Graphing Success: Revolutionising Organisational Structure and Scalability in Banking with Neo4j - Q2 2024

  • 1. PUBLIC Graphing Success Revolutionizing Organizational Structure and Scalability in Banking with Neo4j Sudheer Mechineni
  • 2. PUBLIC My Journey Experience with Neo4j I have been actively involved in utilizing Neo4j to revolutionize organizational structures and scalability in banking. Through my extensive experience, I have witnessed the transformative power of Neo4j in tackling complex data management challenges within the banking sector.
  • 3. PUBLIC The Challenge of Data Entitlements Maintaining Data Access in a Dynamic Environment In the dynamic banking environment, ensuring uniform data access presents a significant challenge. The need to ensure secure and seamless access to diverse data sets across the organization is complex and critical to overall operational success. Let us delve into the complexities and solutions related to managing data entitlements within this evolving organizational landscape.
  • 5. PUBLIC First Generation Graph: Organizational Hierarchy Modeling Organizational Structure as a Graph The representation of the first-generation graph mapped out the intricate web of organizational hierarchy using Neo4j. This model transformed how we visualized and navigated the complex relationships within the bank's structure.
  • 7. PUBLIC Second Generation Graph: Operating Model Integrating Operating Model with Business Applications The second-generation graph delved deeper into the bank's operating model, illustrating its integration with key business applications. This comprehensive representation provided invaluable insights into operational efficiencies and interdependencies.
  • 9. PUBLIC Technical Insights Scaling to Millions Optimisation and Automation Best Practices in Using Neo4j Managing over 5 million nodes and 40 million relationships was a noteworthy feat in achieving scalability. Employed strong technical strategies to handle this substantial volume of data effectively. The optimization of data extraction processes and the implementation of automated pipelines for cluster management significantly streamlined our operations. These technological advancements were pivotal in maximizing the database's performance. Innovative node generation and dynamic cypher generation played a crucial role in refining our graph modeling practices. These best practices helped us leverage the full potential of Neo4j in a banking environment.
  • 10. PUBLIC Impact on Business Entitlements as a Service (EaaS) Provided enhanced security and streamlined access management by implementing a central data entitlements solution across numerous enterprise and mission-critical applications. The system's remarkable adaptability was evident in its swift response to changes in organizational structure and operating models, underscoring its pivotal role in driving agility and responsiveness within the organization. Fast Reaction to Organizational Changes
  • 11. PUBLIC Trends and Future Directions Expanding Central Knowledge Graph and Data Discoverability Our future plans encompass expanding the graph database system to build a central knowledge graph, augmenting data discoverability for auditors, reviewers, and business users. This strategic expansion signifies our commitment for greater insights and integration in the banking domain.