In 2016, State Street Bank, The EDM Council, Wells Fargo, Dun & Bradstreet and Cambridge Semantics worked together on a proof of concept project to demonstrate a couple of key objectives: (1) The practicality of using FIBO to harmonize diverse derivative and entity data (2) The usefulness of FIBO for comprehensive reporting and analytics, both traditional and innovative

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
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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