today's chief data officer: 3 types of cdos, key challenges, and opportunities for breakthrough...
TRANSCRIPT
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
2
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
4
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
5
DATA GOVERNANCE CDO
GAME-CHANGERS
Enterprise view
of data quality
6
3rd party data
governance
Driving culture
change
(“Data First” culture)
Partner with CISO on
data leakage, encryption,
NPI data
Self-service data
governance
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
7
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
8
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
9
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
10
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
11
BUSINESS ENABLEMENT CDO
GAME-CHANGERS
Agreement on
Enterprise vs.
Local data sets
& models
12
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