Helping Compliance Cross the Data Chasm - Webinar for the Compliance Week Magazine, March 27st, 2013 Since 2012, Big Data has become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. But what exactly is Big Data from a compliance perspective? And how prepared is compliance to handle this current trend? From what I have learned and experienced, compliance is not adequately prepared and, trust me, the data and analytics people are not making it very easy for you. This presentation will help compliance personnel understand more about Big Data, while providing some real life examples that will help you determine if Big Data is a threat for your job security or a tool to help you thrive. Speaker: Mario Faria, Data Strategy Advisor - Boa Vista Moderator: Joe McCafferty, Executive Editor, Compliance Week

1. Helping Compliance Cross the Data Chasm
You can submit
Welcome to Compliance Week’s virtual conference on Big Data and how questions to our
compliance can respond to the emerging risks. speaker by using the
“Ask a Question”
button on the left
side of your screen.
This afternoon’s Webcast will feature Mario Faria, data strategist with
Boa Vista and will explore some real life compliance tools for crossing
the data chasm.
The discussion will be hosted by Compliance Week Executive Editor, Joe
McCafferty.
www.complianceweek.com (888) 519-9200

2. Agenda for Today’s Webcast
This Webcast will last for 50 minutes You can submit
questions to our
speaker by using the
1:30 p.m. Introduction “Ask a Question”
Joe McCafferty, Compliance Week button on the left
side of your screen.
1:35 p.m. Discussion
Mario Faria, Boa Vista
2:05 p.m. Q&A: Will be kept anonymous
2:20 p.m. Closing Remarks: From Compliance Week
www.complianceweek.com (888) 519-9200

3. Introduction: The Series, Schedule & Instructions
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Upcoming Virtual Conferences: questions to our
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Visit our website for future virtual event dates and topics “Ask a Question”
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Instructions:
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All questions will be anonymous.
www.complianceweek.com (888) 519-9200

4. Today’s Presenter
Mario Faria You can submit
questions to our
Data Strategy Advisor, Boa Vista speaker by using the
“Ask a Question”
button on the left
• Has worked as a CDO for Boa Vista, a credit bureau services side of your screen.
provider in Brazil, which is partly owned by Equifax.
• Is a professor of marketing and strategy at the MBA program of the
Business School São Paulo (BSP).
• Is a contributor of several conferences, magazines and publications
in areas of Big Data, Data Analytics, Data Management, Digital
Marketing, Social Media, and Technology.
www.complianceweek.com (888) 519-9200

5. Helping Compliance Cross
the Data Chasm
March 27th, 2013
Mario Faria
Data Stratagy Advisor
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6. Objectives of this seminar
• To help Compliance people to understand what is
currently happening with data and technology
• To present some Big Data concepts that will help
Compliance people do their jobs better
• To provide insights on how Compliance and Data
Teams should successfully work together inside an
organization
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7. Who am I ?
• MIT recognition as the 1st Chief Data Officer and Lead Data
Scientist of Latin America
• 20+ years working with Information Technology,
Management Consulting, Financial Services, Retail,
Consumer Goods and Private Equity
• Expertise in Data Management, Analytics and BI at Boa
Vista (Equifax Joint Venture), IBM, Accenture and Microsoft
• Speaker at several conferences on these subjects in USA
and throughout Latin America
• Contributor writer for magazines and publications in areas
of data management, marketing, media and technology
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8. Our agenda today
• How we got here
• The 5 waves of Technology
• From BI to Big Data
• The Data Life Cycle
• The Chief Data Officer / Head of Analytics / Data Scientists
• Is Big Data a threat or a tool for Compliance ?
• Going from here
• Conclusions
• Q&A
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9. There was a time in history of
mankind …
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10. On Compliance and Big Data
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11. Compliance and Big Data : more
than 38 million results
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12. Compliance and Big Data : more
than 1.8 million results
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13. How to make sense ?
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14. Helping Compliance Crossing the
Data Chasm
Geoffrey A. Moore
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15. How we got
here in terms of
Big Data
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16. The Web Evolution : more and more
data driven
Middle 90s 2005 - 2011 2012 moving forward
Web 2.0 Web 3.0 - Data-driven
Web 1.0
Bricks to Clicks Participatory Web moves from broadcast (push) medium
to enabling two-way dialogue based on:
- Behavior
- Preferences
- Profile data
- Personalized user experiences
Leverage the web as a database
- Machine learning
- Predictive analytics
- Automated modeling
Internet of things
- Widgets
- Peer-to-peer networks
- Devices, cars
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17. The 4 driving factors that are
changing the technology industry as
we know it
• Social
• Mobile
• Cloud
• Information
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18. 18
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19. The 5 Waves of
Technology
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20. The 5 waves of
computing technology
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21. 1st wave - computers
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22. 2nd wave - ERPs
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23. 3rd wave – CRM and
Supply Chain integration
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24. 4th wave – Business
Intelligence
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25. 5th wave – Social Computing
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26. From Business
Intelligence to
Big Data
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27. What is Analytics ?
“The extensive use of data, statistical
and quantitative analysis, explanatory
and predictive models, and fact-based
management to drive decisions and
actions” – Thomas Davenport
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28. Analytic Maturity Curve
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29. 29
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30. What is Big Data?
SQL
MAPREDUCE
HADOOP
CLOUDSCALE
MPI
BSP
PREGEL
DREMEL
PERCOLATOR
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31. Differences between Big Data
and Traditional BI projects
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32. The evolution path to Big Data
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33. Big Data is not just about :
• Large volumes
• Greater scope of information
• Real time access to information
• New kind of data and analytics
• Data influx from new technologies
• Non-traditional forms of media
• Variety of sources
It all of the above, plus a transformation in processes and
culture, and it is a disruptive factor for entire industries
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34. Analytics is about customer centricity
• Supply Chain forecasting
• Behavioral analysis
• Operations improvement
• Marketing targeting / decisions
• Real-time pricing / promotions
• Customer experience analysis
• Customer insights
• Customer lifecycle management
• Fraud prevention and analysis
• Network monitoring
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35. Big Data & Analytics are transforming
how companies operate, internally and
externally, at startling speed
• Big Data = Big Problem
• The change in employee norms is
challenging traditional corporate
hierarchies
• The really big headache for companies is
how to break down internal “silos” of
information
• Tomorrow’s corporate winners will be the Sir Martin Sorrell,
businesses that can not just collect CEO WPP,
numbers but make sense of them too, @ Davos World
and find ways to use this data to foster Economic Forum
more collaboration across the Jan 2013
organization
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36. 36
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37. Big Data
=
Human Behaviour
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38. The
Data Life
Cycle

39. Some problems, at this point, in
most organizations
• Data is fragmented and scattered
• Like the truth, data has many versions
• The Data Lifecycle is a complex process
• A formal process to manage data is a
requirement in order to do Analytics
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40. The complexity of the Data Life Cycle
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41. Usage of wrong data can make you
lose money
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42. Usage of wrong data can destroy
credibility
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43. Who owns the Data inside an
organization ?
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44. Chief Data Officer /
Head of Analytics /
Data Scientists
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45. More and more, data leaders are being hired
to think strategically think about all the steps
from getting raw data and making it useful to
business users
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46. Chief Data Officer (CDO) /
Chief Analytics Officer (CAO) /
Lead Data Scientist
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47. Chief Data Officer (CDO) /
Chief Analytics Officer (CAO) /
Lead Data Scientist
• A new profession that is becoming very common in
corporations
• He/she is a corporate officer who is the business
leader for enterprise-wide data processing and data
mining.
• The CDO typically reports to the CEO or the COO
and is a member of the executive management team
of a company or business unit.
• CDOs leverage their organization's data assets in
support of strategy. He/she manages enterprise-wide
data administration and is the champion of enterprise
information management
• CIOs are concerned with this new role, because of
the threat to their current status quo
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48. The role of a Chief Data Officer or
Lead Data Scientist
The insight is operationalized
in BI/DW products, by data architects
A data scientist is the one
who looks for insights
The insight is shared
with the enterprise
The CDO or Lead Data Scientist 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
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49. Why do you need Chief Data Officer ?
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50. Why do you need a
Chief Data Officer ?
• Data is about business, it's not about IT
• Data is an economic asset, so you
need a senior person to handle the
data initiatives.
• As an economic asset, data needs:
control, show value and monetization
• There is now way you can do
Advanced Analytics unless you have
some data management practices in
place.
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51. How a CDO should implement
Big Data projects
• Define what Big Data means to the organization
• Establish a data-driven culture inside the business units
• Adopt the most-suited technologies of business rules
• Put in place predictive analytics to build decision systems
that are agile, analytic and adaptive
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52. January 2013 “The Forrester Wave™: Big Data Predictive Analytics Solutions, Q1 2013”
The Predictive Analytics Process Must Be Continuous To Ensure Effectiveness
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53. Foundations of the Big Data team
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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54. Wait a second !
Compliance means conforming to a
rule, such as a specification, policy,
standard or law
It reminds a lot of what the data guys
call DATA GOVERNANCE
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55. There is, after all, a strong tie
between Compliance and the
foundations of Big Data
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56. Is Big Data
a threat or a tool
for Compliance ?
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57. Compliance and Big Data risks
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58. A threat
for Compliance ?
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59. LAST summer, employees at the National
Aeronautics and Space Administration received an
in-house newsletter illustrated with mock front
pages of USA Today and The Washington Post and
seemingly hyperbolic headlines like: “NASA Laptop
Stolen, Potential Compromise of 10,000 Employees’
Private Information!” – extract from NY Times, Feb
16th 2013
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60. The Companies and Countries Losing Their
Data, by Sarah Green, March 12, 2013, HBR
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61. The Companies and Countries Losing Their
Data, by Sarah Green, March 12, 2013, HBR
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62. One Big Data usage :
Social CRM and
Behavioral Targeting
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63. Gaydar Project - MIT
• Finding out sexual
orientations
• Facebook posting analysis
• Friends lists identifications
• Behaviour patterns
• Inferences and predictive
analysis
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64. Facebook 'likes' can reveal your secrets
According to a new study from the University of Cambridge, it’s
possible to predict a person’s private traits — sexual orientation,
political leanings, religion, intelligence, etc. — just by analyzing
their Facebook likes. Researchers looked at the FB profiles, likes,
surveys and personality tests of 58,466 individuals, and from that
data developed a model that predicts personal attributes with a
great deal of accuracy.
www.cnnn.com/2013/03/11/tech/social-media/facebook-likes-study/
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65. The Big Data Fragmented Tech Vendors : data life cycle
process view
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66. Technology alone will not change the
previous results
To succeed in Big Data, an organization will be required to
change some of its current internal processes
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67. The complexity of an Analytics
project
• It requires a better, more robust and scalable infra-
structure
• A new way of thinking about architecture
• More deployment options
• Changing patterns of data consumption
• More complex data management requirements
• Data demands from more applications
• Data Integration will be a critical path of the project
• Pressure for faster results
• Different needs and roles after the project goes live
(it requires change management and processes
reconfiguration)
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68. The catch : just a few companies (users and
consulting) understood the nits and grits
about Big Data Analytics: it requires you to
moving from a data management vision
(tactical) to an information management
vision (strategic)
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69. A requirement for any Big Data project
• Any Big data initiative is very dependent upon a scalable
and extensible information foundation
• Some companies may not have them at home (on
premises) and will require a cloud solution to deploy
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70. A tool
for Compliance ?
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71. Big Data for Network
Security Monitoring
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72. A real case from a financial
services institution
• Compliance Team using Big
Data tools to Analysing emails
and unstructured context
documents much faster
• Using machine learning to
speed up the recognition of
false positives / true negatives
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73. Using Big Data for Fraud
Management in Healthcare
Healthcare Fraud Management using Big Data Analytics, by Trendwise Analytics,
http://trendwiseanalytics.com/
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74. Going from here
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75. 75
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76. The main drivers for
Data/Big Data projects
• Make more money
• Reduce current costs
• Improve efficiency
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77. What it takes to make Big Data projects
drive results
• Data – understand what they have and
how to be creative when it comes to
using internal and external data
• Models – focus on developing models
that predict and optimize
• People – transform their organizations
with tools and effective training so that
managers can take advantage of Big
Data's insights.
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78. Conclusions
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79. What Compliance has to
understand about Big Data
• Big Data projects are happening
• Where the data is coming from
and where it is heading
• Who is using it, how it is being
used, why it being used and when
it is being used
• How it is stored
• How/If it is being disposed
• Security and privacy and issues
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80. Data and Compliance Teams should
be able able to work together on Data
issues related to Governance,
Policies, Security and Protection
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81. What we have seen today
• How we got here
• The 5 waves of Technology
• From BI to Big Data
• The Data Life Cycle
• The Chief Data Officer / Head of Analytics / Data Scientists
• Is Big Data a threat or a tool for Compliance ?
• Going from here
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82. “Business are complex systems,
optimizing a single element rarely
creates lasting value”- Peter Drucker,
the father of modern management
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83. I have learned how to work with
Compliance people. And it did
help me, as a data leader, to
achieve my goals
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84. Q&A
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85. Thank you
Mario Faria
Data Strategy Advisor
http://www.linkedin.com/in/mariofaria/
Founder of the Digital Mad Men
www.slideshare.com/fariamario
Twitter : @mariofaria
fariamario@hotmail.com
(425) 628-3517
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86. Question & Answer Session
You can submit
questions to our
Mario Faria speaker by using the
Data Strategy Advisor, Boa Vista “Ask a Question”
button on the left
side of your screen.
Joe McCafferty (Moderator)
Executive Editor, Compliance Week
www.complianceweek.com (888) 519-9200

87. Thank You for Joining Us
Feedback
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Please send to: info@complianceweek.com questions to our
speaker by using the
Thanks “Ask a Question”
Mario Faria, Data Strategy Advisor, Boa Vista button on the left
side of your screen.
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