Helping Marketers to Cross The Big Data Chasm
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Mario Faria
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Helping Marketers to
Cross the Big Data Chasm
Mario Faria [email protected]
+1 - (425) 628-3517 @mariofaria
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Who am I ?
• MIT recognition as one of the 1st Chief Data Officers and Lead Data
Scientists in the world (just Google “Mario Faria Chief Data Officer”) • 20+ years working with Information Technology, Management
Consulting, Financial Services, Retail, CPG and Private Equity • Proven expertise in Data Management, Data Science, Analytics and
Supply Chain Management • Speaker at several conferences on the subject in USA, Europe and
Latin America • Contributor to magazines and publications • Big Data Advisor at the Bill and Melinda Gates Foundation • Member of the MIT Data Science Initiative
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My mission : To help the data community evolve with sustainability
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Helping HR to Cross the Big Data Chasm
Geoffrey A. Moore
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Data and Analytics professionals are not helping everyone else to understand it
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Web 1.0 Bricks to Clicks
The Web Evolution : more and more data driven
Web 2.0 Participatory
Web 3.0 - Data-driven 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
Middle 90s 2005 - 2011 2012 moving forward
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The 4 driving factors that are changing the technology industry as
we know it • Social • Mobile • Cloud • Big Data
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SQL
MAPREDUCE
HADOOP
CLOUDSCALE
MPI
BSP
PREGEL
DREMEL
PERCOLATOR
What is Big Data?
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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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Analytic Maturity Curve
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This brave new world we are living in
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Big Data
=
Human Behaviour
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One Big Data usage : Social CRM and
Behavioral Targeting
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Beer and Diapers ? Mith or reality ?
Do it with your own Market Basket Analysis
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How Netflix works
• History of your preferences • Each household will present you a different set of films
and TV series • Based on your behaviour, time preferences, etc • Very complex analytics modelling
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Gaydar Project - MIT
• Finding out sexual orientations
• Facebook posting analysis • Friends lists identifications • Behaviour patterns • Inferences and predictive
analysis
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Real Digital Marketing Campaign
• Luxury car manufacturer • Targeting males from 35 to 50 years old • São Paulo upscale neighbourhoods • Email sent using a combination of data points
(income, geospatial, credit history)
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Credit Card Debt Recovery Campaign
• Major Brazilian bank • Very focused and narrow target • Looked at years of the bank history to get the payment
analysis • Isolated some variables to find out the best possible
return
Data Science
The process of taking raw data, producing informa8on from data, and using this informa8on to guide ac8ons that will bring financial benefits to business
Chief Data Officer / Head of Analy8cs / Data Scien8sts
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The role of a Chief Data Officer or Lead Data Scientist
A data scientist is the one who looks for insights
The insight is operationalized in BI/DW products, by data architects
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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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 [email protected] +1 (425) 628-3517