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State street edmc swaps pilot

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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

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State street edmc swaps pilot

  1. 1. State Street FIBO Proof-of-Concept Marty Loughlin, Vice President, Financial Services Sales
  2. 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. 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. 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. 5. ©2018 Cambridge Semantics Inc. All rights reserved. Risk Analytics
  6. 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. 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

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