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State Street FIBO Proof-of-Concept
Marty Loughlin, Vice President, Financial Services Sales
©2018 Cambridge Semantics Inc. All rights reserved.
• Purpose: Demonstrate
- The practicality of using FIBO to harmonize diverse derivative and entity data
- The usefulness of FIBO for comprehensive reporting and analytics, both traditional and innovative
• PoC approach:
- Apply FIBO to operational, “in the wild” data
- Implement using a state-of-the-art semantics platform
• Rapid implementation, no coding required
• Project Participants:
1
State Street Business requirements and operational data
EDM Council FIBO mode and recommended reports/analytics
Cambridge Semantics Operational platform and implementation services
dun & bradstreet Business Entity and Corporate Hierarchy data
Wells Fargo FIBO consultation
State Street FIBO Proof-of-Concept
©2018 Cambridge Semantics Inc. All rights reserved.
FIBO PoC Solution Architecture
Front
Arena
Data
Dun &
Bradstreet
Data
Internal Data Sources
Map & Load (QA) Link & Query (Classification, inference, analytics)
External Data Sources
Derivatives Data
Entity &
Corp. Hierarchy
Data
Reports & Analytics
Pilot Solution Architecture
©2018 Cambridge Semantics Inc. All rights reserved.
Project Approach
Load & operationalize FIBO in Anzo
Map data sources onto FIBO
Load, harmonize, QA and classify data
Configure analytic dashboards
1
2
3
4
Project Approach
©2018 Cambridge Semantics Inc. All rights reserved.
Risk Analytics
©2018 Cambridge Semantics Inc. All rights reserved.
PoC Findings: Business Value
• Rapid data harmonization across disparate sources
• Open standards approach means model (FIBO) and tools (Anzo) work together
seamlessly
• Data mapping, loading, harmonizing and analytics required no coding
• Business friendly
• Models and tools are designed for business users – dashboards
• Provide common view of data in business terms
• Sophisticated reporting and analytics
• Easily ask questions of the data not anticipated in advance
• Visualize and calculate transitive exposures which would require custom coding
with traditional approaches
• Business agility
• Rapidly add new sources (internal or external) and analytics
PoC Findings: Business Value
©2018 Cambridge Semantics Inc. All rights reserved.
PoC Findings: Lessons Learned
• The FIBO model works and delivers unique data insight capabilities
• The Anzo tools work well and deliver value
• Traditional problems: availability of people, access to data and good IT
resources drive the adoption timeline.
• FIBO model is comprehensive, but comes with some complexity
• Not intuitive; Use requires learning
• FIBO facilitates construction of simplified operational ontologies
• Models and tools are standards based, but implementation required some
adaptations and workarounds
PoC Findings: Lessons Learned

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20 Comprehensive Checklist of Designing and Developing a Website
 

State street edmc swaps pilot

  • 1. State Street FIBO Proof-of-Concept Marty Loughlin, Vice President, Financial Services Sales
  • 2. ©2018 Cambridge Semantics Inc. All rights reserved. • Purpose: Demonstrate - The practicality of using FIBO to harmonize diverse derivative and entity data - The usefulness of FIBO for comprehensive reporting and analytics, both traditional and innovative • PoC approach: - Apply FIBO to operational, “in the wild” data - Implement using a state-of-the-art semantics platform • Rapid implementation, no coding required • Project Participants: 1 State Street Business requirements and operational data EDM Council FIBO mode and recommended reports/analytics Cambridge Semantics Operational platform and implementation services dun & bradstreet Business Entity and Corporate Hierarchy data Wells Fargo FIBO consultation State Street FIBO Proof-of-Concept
  • 3. ©2018 Cambridge Semantics Inc. All rights reserved. FIBO PoC Solution Architecture Front Arena Data Dun & Bradstreet Data Internal Data Sources Map & Load (QA) Link & Query (Classification, inference, analytics) External Data Sources Derivatives Data Entity & Corp. Hierarchy Data Reports & Analytics Pilot Solution Architecture
  • 4. ©2018 Cambridge Semantics Inc. All rights reserved. Project Approach Load & operationalize FIBO in Anzo Map data sources onto FIBO Load, harmonize, QA and classify data Configure analytic dashboards 1 2 3 4 Project Approach
  • 5. ©2018 Cambridge Semantics Inc. All rights reserved. Risk Analytics
  • 6. ©2018 Cambridge Semantics Inc. All rights reserved. PoC Findings: Business Value • Rapid data harmonization across disparate sources • Open standards approach means model (FIBO) and tools (Anzo) work together seamlessly • Data mapping, loading, harmonizing and analytics required no coding • Business friendly • Models and tools are designed for business users – dashboards • Provide common view of data in business terms • Sophisticated reporting and analytics • Easily ask questions of the data not anticipated in advance • Visualize and calculate transitive exposures which would require custom coding with traditional approaches • Business agility • Rapidly add new sources (internal or external) and analytics PoC Findings: Business Value
  • 7. ©2018 Cambridge Semantics Inc. All rights reserved. PoC Findings: Lessons Learned • The FIBO model works and delivers unique data insight capabilities • The Anzo tools work well and deliver value • Traditional problems: availability of people, access to data and good IT resources drive the adoption timeline. • FIBO model is comprehensive, but comes with some complexity • Not intuitive; Use requires learning • FIBO facilitates construction of simplified operational ontologies • Models and tools are standards based, but implementation required some adaptations and workarounds PoC Findings: Lessons Learned