Semantic Knowledge Graph Use Cases in Financial Services present at 2018 EDM Council Member's meeting in NYC

1. Discovering Insights in your Data
Industry Case Studies
Marty Loughlin, Vice President, Financial Services Sales

2. ©2018 Cambridge Semantics Inc. All rights reserved.
Financial Services Data Fabric
Trading
CRM
Loan
…
AML
Fraud Detection
Insider Threats
Recommendation
KYC/Customer 360
Regulatory ReportingKnowledge Graph
(Canonical Model/FIBO)
Line of Business
(Curated Data Catalog)
Enterprise
(Data Lake, Source Catalog)
3rd party
data
services
Finding Alpha
Logs
Digital Assistants
‘Graphy’Usecases

3. ©2018 Cambridge Semantics Inc. All rights reserved.
The Data Fabric Address Today’s Information Management Challenges
Answer unanticipated questions on
complex data across many sources
Self-service data access and
advanced analytics
? !
1
Achieve strategic data objectives
faster vs. stitching many tools
together
Semantic layer on Cloud
data lakes and Hadoop2
Accelerate automation of data-
driven operations with machine
learning and AI
Accelerate data science with
automated feature engineering
and selection
Data management and
prep for NLP, AI, and ML
NLP AI
ML
3

4. ©2018 Cambridge Semantics Inc. All rights reserved.
Alternative Data
American Airlines: Stock Price vs # of Delayed Flights Honolulu Airport Information
Jetblue 360 View

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Risk Analytics

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Trade Surveillance

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Trade Surveillance

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Fraud Analytics
As-Is Data Graph
(Transliterated to Graph)
Auto-ETL
Dashboard
Profiling
Graph Mart
Schema & Data
Conceptual Model
ETLMap
ELT
ELT
Most Active Real Estate Communities

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Investment Research

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Feature Engineering & Selection
• Web-based interface uses the
Knowledge Graph with linked
data sets to easily create &
select features for machine
learning frameworks
• Anzo’s Excel-like formula
language makes it easy to
denormalize, aggregate, query,
& bucket data from
multidimensional models
• Set up rules to clean & transform
data
• Transformations are kept
discrete and granular 10

11. ©2018 Cambridge Semantics Inc. All rights reserved.
Data Harmonization & Migration
Data Feed On-Boarding
Before
• Multiple SMEs
• 6-12 months to add new feed
• $500K - $1M
After
• Single SME
• 1-3 months to add new feed
• $50K - $100K
LoanIQ
Hive

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Key Takeaways
• Today’s data challenges need a new approach
• Semantic knowledge graphs are a powerful option
• Enterprise class platforms are available today
• Transformation takes time, start now
• Start small, select impactful use cases