The document discusses Cambridge Semantics' smart data integration solution. It introduces Cambridge Semantics and their Anzo software for unified information access. Their solution aims to reduce the time and cost of onboarding new data sources, provide full data provenance tracking, and put interactive business-friendly data in the hands of business users using industry standard models. The solution components include a mapping application, ETL compiler, and business dashboards.

1. Smart Data Integration
October 10th, 2013
Cambridge Semantics Contact:
Marty Loughlin
Vice President, Financial Services
Cambridge Semantics
141 Tremont St., 6th Floor, Boston, MA
www.cambridgesemantics.com
marty@cambridgesemantics.com
(o) 617.855.9565
(m) 508.667.8334
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.

2. Agenda
Introduction to Cambridge Semantics
Enterprise Data Integration Challenges
Smart Data Integration Solution
Demonstration
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 2.

3. Introduction to Cambridge Semantics (CSI)
Anzo, a software suite for Smart Enterprise Data Management &
to build Unified Information Access (UIA) Solutions
Company:
 Founded by senior members of IBM’s Advanced Internet Technology Group
Software:
 Market leading Anzo software suite is built on open Semantic Web standards
 Currently 3rd generation of the product in production use
Business Intelligence /
Analytics Solutions
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 3.

4. Semantic Web Paradigm: Unifying Information based on
common characteristics
C
Risk
Management
Portfolio
Management
Semantic models allow easy understanding of the data for faster &
cheaper integration & analysis
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 4.

5. Middleware
Applications
Anzo Architecture & Capabilities
Anzo Server
Enterprise
Data Fabric
Workflow
Semantic
Services
Anzo
Connect
External
Sources
Reasoning
& Rules
Enterprise
Directory Connect
Anzo
Unstructured
………
Enterprise
Applications
Data Marts &
Warehouses
3rd Party
Databases &
Applications
Directory
(LDAP, AD)

6. Enterprise Data Integration Challenges
On-boarding Data is Slow and Expensive
– Often custom coded ETL
– Expensive to create, update and maintain
Data Provenance is Difficult to Maintain
– Data transformations tracked in spreadsheets
– Provenance across systems poorly tracked
Data is Challenging to Consume for Business Users
– Lack a conceptual model to easily consume the target data
– E.g, “counterparty” vs “client” vs “fund manager
Difficult to Embrace Industry Standards
– FIBO developed by EDM Council and OMG
– Ability to handle changing regulatory standards
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 6.

7. Anzo Smart Data Integration Solution
Objectives
• Reduce the Time & Effort for Customer On-boarding
• Abstract the ETL process
• Automate code generation
• Streamline maintenance
• Enhance data quality
• Track Data Provenance
• Provide repository for data lineage across system boundaries
• Create data governance audit and performance reports
• Provide a Business User Consumable Data Model
• Support end-user self service analysis
• Streamline report generation
• Active meta-data
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 7.

8. Smart Data Integration Components
Mapping
App & ETL
Compiler
Conceptual
Model
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•
Friendly GUI for importing schemas and
capturing and managing mappings and
transformations
•
Generates ETL job - Pentaho today, other
ETL tools, stored procedures etc to follow
Big Blue
•
Expresses data in industry standard
business terms (FIBO)
•
Model expands as new data is added
Analyst
Dashboard
Business
Dashboard
•
Active meta-data – live data
documentation
•
Full access to data through businessfriendly conceptual model (FIBO)
•
Search, track and visualize provenance
at data field level
•
Customizable dashboards and
visualizations
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 8.

9. Anzo Smart Data Mapping Process
Mapping Process Links Source Database Schemas to a
Business Friendly Conceptual Model
Market
Data
Issuer
Ratings
Issuer
Organization
Security
(SMF)
Security
Credit
State
Equity
Security
Credit
Event
Deal
RefEntity
Credit
Event
• Expresses data in business terms in a conceptual model
• Model expands as new data is added
• Users can understand the data, conduct investigation, visualization, analytics & take action
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 9.

10. Smart Data Integration Architecture
Anzo for Excel
Mapping App
Mapping
Registry
Analysts
Dashboard
Server
Schema/Sample Data
Registry
ETL Instruction
Compiler
Source
System
ETL Engine
(e.g., Pentaho)
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
End User
Dashboard App
Conceptual
Model Registry
Data Connection
Registry
Target
System
Page 10.

11. Future Roles and Capabilities
Define Requirements
Map Source to Target
Data
Integration
Lifecycle
Code ETL
Solution currently focused on
mapping and ETL but roadmap
includes upstream and
downstream elements
Build Database
Develop Test Cases
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 11.

12. Smart Data Integration Vision
Additional Value
Value-Add Solutions
Smart
Data
Solutions
Search
Analytics
Customer
360
Risk &
Compliance
• Investigative Business user
applications
• Sharable meta-data
Benefits
Smart
Data
Layer
• Industry standard conceptual
models
• Active meta-data
• Deploy incrementally
• Full data provenance
C
Today’s Challenges
Existing
Infrastruct
-ure
Staging
Server
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
• Slow, costly manual coding
• Limited understanding of the data
• Provenance of field lost on
onboarding
• Limited governance, tracking &
documentation
Page 12.

13. Smart Data Integration Solution
Demo
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 13.

14. Benefits Summary
• Dramatically lower the time and cost to onboard new
customer, vendor & third-party data sources
• Expose full enterprise-wide data provenance necessary for
business and regulatory reporting
• Standardize and link data using industry data models and
terms (FIBO)
• Put highly interactive, business friendly data consumption
in the hands of business users
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 14.

15. For More Information
www.cambridgesemantics.com
@CamSemantics
mloughlin@cambridgesemantics.com
(617) 855 9565
©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.
Page 15.