The document discusses building an organization driven by data. It outlines Mario Faria's background and experience in data and analytics. It then covers topics like the increasing availability of data, roles in data-driven organizations, data science, machine learning, analytics, and how to promote business maturity through analytics. The key takeaways are that data is now widely available, humans are social, mobile is more than phones, and companies should start their analytics journey to leverage data and thrive in the future.

1. Construindo uma
organização gerida por
dados
Mario Faria
http://www.linkedin.com/in/mariofaria/
www.slideshare.com/fariamario
Twitter : @mariofaria
São Paulo, 11 Outubro, 2013
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Mario Faria

2. #fariamario

3. Who am I ?
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Mario Faria

4. 4
Mario Faria

5. 5
Mario Faria

6. 1963
50
years
ago

7. In

8. In

13. 1977
36
years
ago

15. The
Voyager
1
had
3
computers
with
68Kb
of
memory
and
8K
operaAons
per
second

16. First iPhone had a
thousand more
computing power than
the Voyager 1

18. The
NSA's
Utah
Data
Center,
25
miles
south
of
Salt
Lake
City

19. How
is
NSA
storing
/
accessing
/
analyzing
/
combining
/
making
sense
of
all
this
data
?

20. How
long
will
it
take
unAl
we
have
all
the
power
in
our
companies,
homes
and
mobile
devices
?

21. 2014
will
the
year
of
the
wearable
computer
and
sensors

23. Data is the oil of the 21st century
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24. Big
Data
will
fade
away
to
AnalyAcs

26. The 4 driving factors that are
changing the technology
industry as we know it
• Social
• Mobile
• Cloud
• Information
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27. A
morte
do
CIO

29.
Data
access
is
quite
easy
to
achieve
Transforming
data
into
something
useful
in
a
Amely
manner
is
tough

30. The problem : data is an
abstract concept
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31. The solution : find a real object
that people can relate to
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32. The
Data Life
Cycle

33. The Data Value Chain
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34. Analytics is transforming
data assets into
competitive insights, that
will drive business
decisions and actions,
using people, processes
and technologies
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35. On Analytics
Statistics
Domain
Expertise
People
Data
Management
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36. Data
Science
The
process
of
taking
raw
data,
producing
informaAon
from
data,
and
using
this
informaAon
to
guide
acAons
that
will
bring
financial
benefits
to
business

37. Data
Mining
is
the
exploraAon
and
analysis
of
large
quanAAes
of
data
to
discover
meaningful
pa[erns
and
rules

38. The Data Mining Goals
• Explain the past
• Predict the future
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39. Machine
learning,
part
of
arAficial
intelligence,
is
about
the
construcAon
and
study
of
systems
that
can
learn
from
data

40. Machine Learning is the "Field of
study that gives computers the
ability to learn without being
explicitly programmed"
Arthur Samuel,
1959
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41. Machine
Learning
is
about
predicAon
and
learning
from
data
Data
Mining
is
about
finding
unknown
properAes
of
the
data

42. The 3 Architectures a Company needs
to succeed
Business
Architecture
Data
Architecture
Technology
Architecture
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44. Data Scientist
Data Architect
Data Quality
Data Operations
Chief Data Officer /
Chief Analytics Officer
Data Governance
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45. The roles of an Analytics organization
The insight is operationalized
in BI/DW products, by data architects
A data scientist is the one
who looks for insights
The Chief Data/Analytics 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, technology
and budget
The insight is shared
with the enterprise
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46. Foundations of the Data
responsibilities
•
•
•
•
•
•
•
•
•
•
•
Data Strategy
Data Analytics
Data Insights
Data Architecture
Data Governance
Data Quality
Data Acquisitions
Data Operations
Data Policies
Data Security
Data Protection
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47. Does
your
organizaAon
need
a
CDO?

48. “Organizations are about
to be swamped with
massive data tsunamis.
The Chief Data Officer is
responsible for
engineering, architecting,
and delivering
organizational data
success” – Peter Aiken,
PhD
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49. O
Nascimento
do
CDO

50. The Best of the Breed
Data & Analytics Leader
• Knows business and technology
• 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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51. What
does
it
take
to
be
a
Chief
Data
Officer
?

52. “Hiring good people with high emotional IQ
and business sense is much more effective
than hiring people based on skills and
experience. That's because good people
help define the strategy, while specialists
become obsolete when the business
strategy changes” – Jim Collins, from Good
to Great
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53. How
to
promote
Business
Maturity
through
AnalyAcs
?

54. Is it possible to promote Business
Maturity using Analytics, or is it the
other way around?
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55. The Hawthorne Effect (1924-1933), at a
Western Electric factory outside Chicago
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56. “Measurement drives
behavior, and if we don’t
understand how, it drives
behaviors in mysterious
ways”
by Frank Buytendijk, Beingfrank
Research, Sept 2012
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57. Good
KPIs
will
not
save
your
business,
but
they
will
be
able
to
tell
how
screwed-­‐up
your
business
is

58. The 3 ingredients to make
Advanced Analytics work
• Choosing the right data and managing
multiple data sources
• Having the capability to build advanced
models that turn the data into insights
• Management must undertake a
transformational-change program so that the
insights translate into effective action
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59. Technology alone will not
change the previous results
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60. It takes more
than just
data and analytics
for results to be
achieved

61. People
Data
Management
Processes
Data
Architecture
Programs
Analytics

62. Where
de
we
go
from
now
?

63. Which companies will
thrive in the near future ?
Is your company
going to lead,
influence or
follow when
using data and
analytics to
drive results ?
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64. Some
take
aways

65. Take Aways
•
•
•
•
•
•
Technology is cheap
Cloud makes it even cheaper
Data is available everywhere
Humans are social animals
Mobile is more than phones and tablets
Start your data and analytics journey soon
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66. Lessons to Analytical Success
• People
• Change Management (on going
program)
• Culture
• Organization Model
• Processes
• Architecture
• and Analytics, of course
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67. Data
Thinking
Analyze
Synthesize
Research
Present
Motivation

68. Q&A

69. Thank you
Mario Faria
Chief Data Officer and Analytics Strategy Advisor
http://www.linkedin.com/in/mariofaria/
Founder of the Digital Mad Men
www.slideshare.com/fariamario
Twitter : @mariofaria
fariamario@hotmail.com
+1 (425) 628-3517
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