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ECMSHOW 2013 - Construindo uma Organização Gerida por Dados
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Transcript of ECMSHOW 2013 - Construindo uma Organização Gerida por Dados
Mario Faria
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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
#fariamario
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Who am I ?
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1963
50 years ago
In
In
1977
36 years ago
The Voyager 1 had 3 computers with 68Kb of memory and 8K operaAons
per second
First iPhone had a thousand more
computing power than the Voyager 1
The NSA's Utah Data Center, 25 miles south of Salt Lake City
How is NSA storing / accessing / analyzing / combining / making sense of all this data ?
How long will it take unAl we have all the
power in our companies, homes and
mobile devices ?
2014 will the year of the wearable
computer and sensors
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Data is the oil of the 21st century
Big Data will fade away to AnalyAcs
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The 4 driving factors that are changing the technology
industry as we know it • Social • Mobile • Cloud • Information
A morte do CIO
Data access is quite easy to
achieve
Transforming data into something useful in a Amely
manner is tough
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The problem : data is an abstract concept
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The solution : find a real object that people can relate to
The Data Life
Cycle
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The Data Value Chain
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Analytics is transforming data assets into
competitive insights, that will drive business
decisions and actions, using people, processes
and technologies
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People
Data Management
Domain Expertise
Statistics
On Analytics
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
Data Mining is the exploraAon and analysis of large quanAAes of data to discover
meaningful pa[erns and rules
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The Data Mining Goals • Explain the past • Predict the future
Machine learning, part of arAficial intelligence, is about the construcAon and study of systems
that can learn from data
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Machine Learning is the "Field of study that gives computers the
ability to learn without being explicitly programmed"
Arthur Samuel, 1959
Machine Learning is about predicAon and learning
from data
Data Mining is about finding unknown properAes
of the data
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The 3 Architectures a Company needs to succeed
Business Architecture
Technology Architecture
Data Architecture
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Chief Data Officer / Chief Analytics Officer Data Architect
Data Quality
Data Scientist
Data Governance Data Operations
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The roles of an Analytics organization
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 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
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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
Does your organizaAon need a CDO?
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“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
O Nascimento do CDO
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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
What does it take to be a
Chief Data Officer ?
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“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
How to promote Business Maturity through AnalyAcs ?
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Is it possible to promote Business Maturity using Analytics, or is it the
other way around?
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The Hawthorne Effect (1924-1933), at a Western Electric factory outside Chicago
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“Measurement drives behavior, and if we don’t understand how, it drives behaviors in mysterious
ways”
by Frank Buytendijk, Beingfrank Research, Sept 2012
Good KPIs will not save your business, but they will be able to tell how
screwed-‐up your business is
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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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Technology alone will not change the previous results
It takes more than just
data and analytics for results to be
achieved
Processes
People Data
Architecture
Programs
Data Management
Analytics
Where de we go from now ?
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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 ?
Some take aways
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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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Lessons to Analytical Success • People • Change Management (on going
program) • Culture • Organization Model • Processes • Architecture • and Analytics, of course
Data Thinking Analyze Synthesize
Research
Present
Motivation
Q&A
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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 [email protected] +1 (425) 628-3517