In this presentation we examine the 3 types of Chief Data Officers that are common in the industry today. We discuss their responsibilities, key challenges, and present ideas for having an meaningful impact. A great overview of the CDO role and how this executive position can contribute to the success of your business.

1. TODAY’S CDO
Three Types of CDOs, Their Key Challenges, and
Opportunities for Breakthrough Results

2. SCOTT RICHARDSON
3 years at Fannie Mae, Chief Data Officer &
Head of Corporate Technology
BACKGROUND
13 years at Capital One, VP of Retail Technology
for Consumer & Small Business Banks
Founder/owner of 2 technology consulting
companies
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3. Data Governance
CDO
Data Transformation
CDO
Business Enablement
CDO
3 TYPES OF CDOs
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4. Data Policy &
Compliance
Standard Terms
(Business Glossary, Data
Glossary, Logical Data Model,
Enumerations)
Enterprise Data Metrics
(DQ, compliance, etc.)
DATA
GOVERNANCE
CDO
RESPONSIBILITIES
Metadata and Data
Quality Standards &
Monitoring
Regulatory Relations
for Data
Standards for Data
Architecture and
Data Movement
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5. Success depends on productive
relationships and senior
management support
DATA GOVERNANCE
CDO
KEY CHALLENGES
Need enforcement capability
when non-compliance is found
Potential reputation risk
associated with data issues
Negotiating Local vs. Enterprise
responsibilities, controls
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6. DATA GOVERNANCE CDO
GAME-CHANGERS
Enterprise view
of data quality
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3rd party data
governance
Driving culture
change
(“Data First” culture)
Partner with CISO on
data leakage, encryption,
NPI data
Self-service data
governance

7. DATA
TRANSFORMATION
CDO
RESPONSIBILITIES
Build foundational data
infrastructure
Core platforms: ODS, EDW, Data
Marts
Batch & Streaming
Structured & Unstructured
Ingestion and Vending
patterns; Data Services
Business Intelligence &
analytic tools transformation
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8. DATA
TRANSFORMATION
CDO
KEY CHALLENGES
Transition from batch to near real time, real time,
streaming
Bridging on-premise and cloud infrastructure
Moving to a services/API-based technology
platform
Keeping up with technology changes in
databases, business intelligence/analytics
Being consumed with technology implementation
Creating an effective and fast data
delivery organization
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9. DATA TRANSFORMATION CDO
GAME-CHANGERS
Have great
partnerships (CEO,
CIO, COO, CMO,
CDO)
Implement fit-for-purpose
data solutions
Have a well-defined data
strategy that gives
direction to your work
Partner on Digital
Transformation: Digital
requires streamlined flow
of information end-to-end
Talent management:
ensure your technology
delivery leaders are up to
the task of enterprise-
scale integration and
coordination
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10. BUSINESS
ENABLEMENT CDO
RESPONSIBILITIES
Improve Operations with a scientific,
data/metrics-driven, analytic culture
Integrate external data sources
Move forward with advanced
analytics
Align analytics firmly with the
corporate or line of business strategy
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11. BUSINESS
ENABLEMENT CDO
KEY CHALLENGES
Process: Traditional vs. modern/ML
statistical modeling process
Infonomics: Measure the value of
your data, the value of insights
Structure: Central vs. Line of
Business analytic capabilities
People: Educating and enabling the 6
analytic personas across the company
Information Consumer
Business or Data Analyst
BI/Analytics Developer
Citizen Data Scientist
Researcher
Expert Data Scientist
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12. BUSINESS ENABLEMENT CDO
GAME-CHANGERS
Agreement on
Enterprise vs.
Local data sets
& models
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Non-Analytic
Enablement:
the API/Platform
Economy
API
Innovation and a
culture of sharing;
implement a
semantic layer
Pave the
on-ramp from
Research to
Production
Move from
dashboards to
predictive,
prescriptive, AI

13. Most CDO roles
involve aspects
of all three types
Redefine the
CDO role to
achieve the
desired results
A well-defined and
empowered CDO
can be a highly
impactful senior
change leader
Data
Governance
CDO
Data
Transformation
CDO
Business
Enablement
CDO
CONCLUSIONS
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