Presentation delivered at the Enteprise Data Leadership Summit, in Chicago March-2014 Mario Faria, Head of Chief Data Officer, Inc., a consulting and advisory services company, based in Seattle, WA

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3 steps to becoming a successful
Chief Data Officer
March 19th, 2014
Mario Faria
http://www.cdo-inc.com/

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Who am I ?
• Recognition as one of the 1st Chief Data Officers in the world
• 20+ years working with Information Technology, Management
Consulting, Financial Services, Retail, CPG and Private Equity
• Well recognized thought leader in Data Management, Data Science,
Analytics, CRM, Supply Chain and Operations Management
• Regular speaker at conferences throughout the world
• Contributor to magazines and publications
• Member of the MIT Information Quality Initiative
• Helping companies cross the Data & Analytics Chasm

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Objectives
• Understand how to make sharper decisions about
enterprise information assets
• Develop and implement a data strategy that works
• Mobilize cultural change

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6. By
2015,
25
%
of
Large
Global
Organiza8ons
Will
Have
Appointed
Chief
Data
Officers

7.
Step
0
–
Becoming
a
CDO

8. Leap
of
Faith

9. It takes more
than just
data and analytics
for results to be
achieved

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People
Management
Data
Management
Domain
Expertise
Technology
On Data & Analytics

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A CDO is responsible for
transforming data assets
into competitive insights,
that will drive business
decisions and actions,
using people, processes
and technologies

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Chief Data OfficerData Architect
Data Quality
Data Scientist
Data GovernanceData Operations

13.
Step
1
–
Crea8ng
a
long-­‐term
Data
Strategy
with
regular
short
term
deliverables

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The Data Value Chain

15.
Understanding
the
organiza8on
expecta8ons
on
how
to
mone8ze
on
data
assets

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A Chief Data Officer
is the executive
responsible to
manage these areas

17.
Data
access
is
quite
easy
to
achieve
Transforming
data
into
something
useful
in
a
8mely
manner
is
tough

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The roles of an Data organization
Collect
Organize
Analyze
The Chief Data Officer is the executive
responsible and accountable for the data life
cycle inside the organization, managing the
people involved in the data activities, such as
acquisitions, analytics, processes,
governance, quality and technology

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Deep X Operational
Analytics
• Deep Analytics
– Few users
– Complex queries
– Worried about response time
– Dedicated data marts
• Operational Analytics
– Lots users
– Simple queries
– Worried about throughput
– Real time data flow

20.
Step
2
–
PuRng
together
the
best
team
you
can
find

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From good to great, a data team
must have:
• Passion for analytics and data
• Never stop learning
• Always be there for tough analytics
questions
• Ask questions until everything makes sense
and you are satisfied with the answers and
analyses
• Learn how to develop prototypes quickly
• Be an advocate for building a strong
foundation in corporate analytics
• Be a "bridge builder" between IT and
business users

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The checklist to hire data & analytics
professionals
Chami Akmeemana
Managing Director
Huntel Global
• Where are they ?
• What are they interested in ?
• What are they going to do ?
• What are they going to work with ?
Link to download the full paper : http://goo.gl/Fc8Xl

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Data and Analytics professionals are
not helping others to understand it

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The Best Data Leaders
• Knows how to talk business with
business people; technology with
techies
• Runs his/her team as a business
unit
• Has multi-discipline skilled people
(technologists, mathematicians,
statisticians, business people as
well)
• Manages quite well the back office
and front office functions

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Managing Data Teams
• Focus on the execution
• Well-defined and realistic
scope
• Put all activities on the
schedule
• Budget control

26.
Step
3
–
Execu8ve
Support

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Executive Support
• Talk the business language
• Frequent and regular
communication
• Go to the Gemba
• See yourself and your team
as a services organization
• Always have the ROI
equation ready

28.
Accessing
the
data
maturity
level
of
your
organiza8on

29. The
brutal
truth
:
CDOs
with
no
staff
and
with
no
budget

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How can you thrive as a CDO ?
• Adapt faster to scenarios
• Have a long term strategy plan in place with short term
deliverables
• Understand how to leverage resources
• Embrace proven methodologies
• Successful program implementations
• Invest in human capital

31. Conclusions

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Lessons to Become a Successful
CDO
• People
• Change Management (on going program)
• Culture
• Organization Model
• Processes
• Enterprise Architecture
• Quality and Governance
• and Data & Analytics, of course

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From good to great
Chief Data Officer

34. “Whether or not you can
never become great at
something, you can always
become better at it ”
Neil deGrasse Tyson

35. Q&A

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Thank you
Mario Faria
Chief Data Officer and Analytics Strategy Advisor
http://www.cdo-inc.com
www.slideshare.com/fariamario
Twitter : @mariofaria
mario.faria@cdo-inc.com
+1 (425) 628-3517