This document outlines an event held by Dolead and Google in July 2016. It discusses the history of big data, how to define big data, and how organizations can find value in data. Specifically, it describes how data volume, velocity, and variety have increased dramatically in recent years. It also provides examples of how metrics can be used to measure the impact of new product features and how data-driven decisions can boost business performance. The overall goal is to explain how organizations can maximize the potential of large, diverse, and fast-growing data sources.

1. DOLEAD & GOOGLE EVENT – JUL 2016
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Play with Data (1)
Dolead & Google

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Good News : Our Brain’s memory capacity is 10 times larger than we thought

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Good News : Our Brain’s memory capacity is 10 times larger than we thought
Basically the whole Internet
SALK INSTITUTE - 20 January 2016

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Plan
Product Manager at Dolead
A short history of Big Data
How define Big Data
How we find value in data Hadrien Baradel
A short history of Big Data
How to define Big Data
How do we find value in data

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WHAT IS DATA ?
DATA = EVENT + CONTEXT
VALUE-DRIVING DATA =
EVENT + CONTEXT + METRICS

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A SHORT HISTORYof Big Data

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ALL BEGINS WITH INFORMATIONS AND LIBRARIES
300 BCE - 48 AD : Library of Alexandria is the world’s largest data storage center

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IS BIG DATA REALLY NEW?
« Information Explosion »
A term first used in 1941 (According to Oxford English Dictionary)

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ALL BEGINS WITH INFORMATIONS AND LIBRARIES
1944 - Fremont Rider speculates that Yale Library will contain 200 million books stored in 6’000 miles by 2040

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0
JUST MISSED SOMETHING
1991 - The Birth of Internet

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IS BIG DATA REALLY NEW?
1989
«BIG DATA»
Early use of terms in magazine
article by a ficton author Erik
Larson
Commenting on Advertisers’ use
of data to target customers

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IS BIG DATA REALLY NEW?
2010 Eric Schmidt
“Much data is now being created every two days, as
was created from beginning of human civilization to
the year 2003“

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IS BIG DATA REALLY NEW?
2015 : Information double
More data has been created in the past two years than in the
entire previous history of the human race

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CHARACTERIZATION
of Big Data

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BIG DATA DEFINITION : THE V3s
Volume
Data quantity
Velocity
Data Speed
Variety
Data Types

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WHAT IS A ZETTABYTE
1 000 000 000 000
1 000 000 000 000
1 000 000 000 000
1 000 000 000 000
1 000 000 000 000
terabytes
gigabytes
petabytes
exabytes
zettabyte
1 Terabyte = 250 DVD

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HOW BIG IS BIG DATA ?
Size of Total Data
Entreprise Managed Data
Entreprise Created Data
Source IDC

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HOW BIG IS BIG DATA ?
2010
10 Gigabytes
Today
500 Terabytes / day
Today
240 Terabytes / flight

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HOW FAST IS BIG DATA ?

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Structured Data? An example
Before
Structured Data
Generated By
companies
Updated every Month
SQL
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Unstructured data?
After
Unstructured Data
Generated By Users
Real Time
NoSQL
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THIS EXPLOSION OF DECENTRALISED DATA MEANS
2009 2010 2011 2012 2013 2014
Unstructured File-based Data Storage
Structured Block-based Data Storage
Before
Structured Data
Generated By
companies
Updated every Month
SQL
Source IDC

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THIS EXPLOSION OF DECENTRALIZED DATA MEANS
2009 2010 2011 2012 2013 2014
Unstructured File-based Data Storage
Structured Block-based Data Storage
After
Unstructured Data
Generated By Users
Real Time
NoSQL
Source IDC

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HOW DO WE FIND VALUE
in Big Data

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HOW IS IT GROWING ?
Data production will be
44 times greater in 2020
than it was in 2009
70% of data created by
users, 80% hold by
companies
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DATA FOR ORGANISATIONS AND BUSINESSES, YOU ALREADY HAVE DATA
Internalized Data

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DATA FOR ORGANISATIONS AND BUSINESSES, YOU ALREADY HAVE DATA
External and Non-
structured Data
Internalized Data

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DATA FOR ORGANISATIONS AND BUSINESSES, YOU ALREADY HAVE DATA
External and Non-
structured Data
Internalized Data
External structured Data

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DATA FOR ORGANISATIONS AND BUSINESSES, YOU ALREADY HAVE DATA
External and Non-
structured Data
Internalized Data
External structured Data
Data for organisations
and businesses

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YOU HAVE A LOT OF DECISIONS TO MAKE
Marketing
Channel
BudgetTargetin
g
New Product
Development

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USING DATA IS GOOD FOR YOUR BUSINESS
64%
of the companies that invest in “ analytics “
over performs on averaged the other ones
(S&P 500)

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HOW DO WE FIND VALUE IN DATA
DATA IS NOT GOAL

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How do we know that we made a great feature?
“ If you want to be a long-term
sucess, built a great product ”
Sam Altman, Y Combinator

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How do we follow metrics? And how to be sure that all services have the same metrics?

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What is a key metric ? How to choose it ?

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What is a key metric ? How to choose it ?

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What we had before the new feature

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What get thought with the ability to apply keywords to a group

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And what we have learned
Opportunity Type < 1 w 1 2 3 4 5
Add Keywords 85.71% 42.86% 28.57% 28.57% 14.29 % 14.29 %
Feb 23rd;2016 - Apr 11th, 2016
Opportunity Type < 1 w 1 2 3 4 5
Add Adgrouping Keywords 88.24% 58.82% 47.06% 47.06% 41.18 % 35.29 %
Apr 13rd;2016 - Jun 18th, 2016

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TO CONCLUDE : A BIG DATA DEFINITION
Technology
Maximising computation power and algorithmic accuracy to gather analyse, link
and compare large data sets

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TO CONCLUDE : A BIG DATA DEFINITION
Technology
Maximising computation power and algorithmic accuracy to gather analyse, link
and compare large data sets
Analysis
Identify patterns

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TO CONCLUDE : A BIG DATA DEFINITION
Technology
Maximising computation power and algorithmic accuracy to gather analyse, link
and compare large data sets
Analysis
Identify patterns
Mythology ?
Widespread belief that large data sets offer a higher form of intelligence and knowledge that can generate
insights that were previously impossible, with the aura of truth, objectivity and accuracy

43. DOLEAD & GOOGLE EVENT – JUL 2016
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DOLEAD & GOOGLE EVENT – JUL 2016
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