The document discusses the evolution of the role of Chief Data Officer (CDO) to Chief Analytics Officer and the importance of data science. It notes that organizations are appointing CDOs to address data issues but these roles often lack formal guidance. The CDO role could evolve to focus more on analytics and data science. Data science involves using data to create actionable insights and predict the future rather than just analyzing the past. It requires multiple skills from domain expertise to technical skills to storytelling. Data scientists can provide a unique customer-centric view of data and opportunities for organizations.

1. @CraigMilroy © 11-2014© 12-2014
Chief Data Officer:
Evolution to the Chief Analytics Officer and Data Science
Craig C. Milroy, Chief Data Architect

2. @CraigMilroy © 11-2014@CraigMilroy
Data Complexity and the recent rise of the CDO role….
Organizations are
creating the office of the
CDO to resolve business
“pain-points” within data
environments.
…Gartner Inc. predicts that 25 percent of large
global organizations will have appointed CDOs
by 2015… Gartner Inc. 01/2014
Due to the relatively short
history of the role, CDOs
often operate without the
benefit of formal industry
guidance, frameworks or
methodologies.
… one size does not fit all ...

3. @CraigMilroy © 11-2014@CraigMilroy
Chief Data Officers are a good idea…..
In February 2013 Gene Leganza of Forrester
Research made the following observation:
"Chief data officers are a good idea – but
how is it going to work?"Gene Leganza’s blog, Forrester, February 2013.
…determine the best approach for resource
allocation and resolution...
…organizations must understand the source
of the challenges ...

4. @CraigMilroy © 11-2014@CraigMilroy
Businesses that understand opportunities within….
…The Office of the Chief Data Officer (OCDO) will
enable an effective business technology
response…
…have an ability to create a competitive
advantage within their target market…

5. @CraigMilroy © 11-2014@CraigMilroy
… it’s all about DATA

6. @CraigMilroy © 11-2014@CraigMilroy
… Chief Analytics Officer…
Where does it fit? …

7. Office of the CDO – Straw man
Evolution of the Chief Analytics Officer…
CIO CxO/LOB
Board
CDO
Data
Governance
Data
Strategy
Data
Innovation
Data
Enablement
BI&A Communication
Data Policy
Data Quality Data Model
Master Data
Reference Data
Clients We Serve
Channels We Support
Business Capabilities
Business Processes
Data Foundation
External Parties
Chief
Analytics Officer

8. Office of the CDO – Straw man
Evolution of the Chief Analytics Officer…
CDO
CAO
Chief
Data Scientist BI&A
CDO CAO
Chief
Data Scientist BI&A
CDO CAO
Chief
Data Scientist BI&A
LoB DS LoB BI&AData Scientist BI&A
Data Scientist BI&A
"Cloud Cover" "ValueRealized" "OrganizationalSilos"
…To enable success; this capability must be a business centric effort. It is
essential that the analytics effort is aligned with the Office of the Chief Data
Officer or Chief Analytics Officer and NOT under a traditional IT
organization…

9. @CraigMilroy © 11-2014@CraigMilroy
… DATA is now not only considered as an
Asset for Competitive Advantage; but now a
Strategic Asset for Competitive Survival …

10. @CraigMilroy © 11-2014@CraigMilroy
… Data Science is the art of turning data into
actionable business outcomes…
…The creation of actionable business outcomes
without exposing decision makers to the
underlying complexity of data or analytics…
… Data Science is about digital storytelling…

11. @CraigMilroy © 11-2014@CraigMilroy
Business Intelligence Data Science
• Backward Looking
• Slice and Dice Data
• Warehoused and
Siloed Data
• Analyze the Past
• Create Reports
• Forward Looking
• Interact with Data
• Distribute, Real Time Data
• Predict, Advise, Guide
• Creates Actionable
Insights
PastEvents
FutureEvents
…Data Science is an unrealized innovation
opportunity and competitive advantage for
organizations...
A Comparison Past vs. Future

12. @CraigMilroy © 11-2014@CraigMilroy
Data Science Evolution
Data Science
is the art of
digital
storytelling
Data Science
creates
actionable
business
insight and
direction
Data Science
is a shift
from
hypothesis-
based to
pattern based
reasoning.
Data Science
is the key
ingredient
for
competitive
advantage
and survival
Data Science
capabilities
will evolve
over time.
Data Science Evolution
….A shift from traditional analysis approaches aka
“gut instinct”…

13. @CraigMilroy © 11-2014
Key Data Scientist Requirements
Business
Domain
Expertise
Computer
Science
Math and
Statistics
Machine
Learning
Software
Tooling
Research
Methods
Unicorn
Digital
Storytelling
Creativity
Domain
Expertise
Technical
Expertise
Big Picture
Thinking

14. @CraigMilroy © 11-2014
Key Data Scientist Capabilities
Discrete
Event
Simulation
Agent Based
Simulation
Collaborative
Filtering
Design of
Experiments
Discrete
Wavelet
Transform
Differential
Equations
Coordinate
Transformati
on
Stepwise
Regression
Generalized
Linear
Models
Gaussian
Filtering
Hidden
Markov
Models
Naïve Bayes
Hierarchical
Clustering
K-means and
X-means
Clustering
Outlier
Removal
Stochastic
Gradient
Descent
Regression
with
Shrinkage
(Lasso)
Principal
Components
Analysis
Sensitivity
Analysis
Differential
Equations
Term
Frequency
Inverse
Document
Frequency
… To enable the future a few basic algorithms we should
know…
… A bit more complicated than today’s environment…

15. @CraigMilroy © 11-2014
The Data Scientist Capability Toolbox
… not all capabilities are required day one…
… however the capabilities can grow over time…
Actionable
Business
Insights

16. @CraigMilroy © 11-2014@CraigMilroy
… The Data Scientist will
enable you to…

17. @CraigMilroy © 11-2014
Web Searches
Location
Chat Logs
Social Network
IP Addresses
Device
… many
organizations
are unware of
the
opportunities
to enhance the
level of
customer
engagement …
… provide a unique data lens on your
business…

18. @CraigMilroy © 11-2014
Social
Account
Product
Event Channel Product
Line of
Business
AccountCustomer
Channel
Device
Customer
… provide a view of your customer that was
consistently out of reach…

19. @CraigMilroy © 11-2014
Event
Social
Account
Product
Channel
Device
Customer
=+
… enable a customer centric view of your
data and realize The Next Big Thing…

20. @CraigMilroy © 11-2014@CraigMilroy
… it’s all about
DATA LEADERSHIP
20

21. @CraigMilroy © 11-2014@CraigMilroy
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