INTRODUCTION TO BIG DATAMARCH 2013

“Humans now create in two days the same amount of data that it took from the dawn of civilization until 2003 to create”

Eric Schmidt, Google’s Executive Chairman

Aggregate data Vs. Big data

Aggregate data

Big data

• What marketers & analysts have used for years• Maybe simpler, but you lose context

Loss of efficiency & money

• A single platform to track every user interaction• More complicated to implement

Better understanding of interactions & optimized actions

DATA INFRASTRUCTUREDATA COLLECTION

A few massive players

A few massive players

Data infrastructure

Solutions for companies

• Data acquisition • Data storage & organization

Data analysis

A few massive players

Data collection

Solutions for companies

• Data acquisition• Consumer behavior analysis

Targeted advertising

The button ‘Like’ has been hit 1.13 trillion times

17 billion location-tagged posts, including check-ins

1.06 billion monthly active users680 million mobile monthly active users

210,000 years of music have been played

$5.1 billion in revenue in 2012 $5.32 in average revenue per user

Connections between Facebook members

Google Search20 billion pages indexed daily3,3 billion requests every day (40 000/sec)

Google +250 million members

Gmail425 million users

Android500 million users on Google’s mobile OS

Google Chrome1st browser worldwide37% of market share

Youtube800 million users4 billion hours of video watched monthly72 hours of video uploaded every minute

One of Google’s data centers

CUSTOMIZATIONPREDICTION

Two appealing opportunities

More efficient advertising

• More & more accurately targeted • In real time

Customization

Two appealing opportunities

Two appealing opportunities

Customization

Tailored services & goods

• Ever narrower segmentation of customers • More knowledge on product usage

Two appealing opportunities

Prediction

Thanks to iterative models, programs can learn new probabilistic associations over time

• Accurate detection of behaviors, patterns• Prediction of future events, trends

Two appealing opportunities

Prediction

Applications

• NY Times archives to predict future disease outbreaks, riots & deaths• Amazon’s tools to recommend more purchases or to stop the forgetful

ones from buying the same book they purchased five years ago

DATAVIZWEARABLE TECH

What’s next ?

Data viz

What’s next ?

David McCandless

Dataviz

To make this amount of data understandable

What’s next ?

Wearable tech

• Google Glass & the ‘talking shoe’ project• Nike+ FuelBand to track daily activity• Oakley Airwave to provide real-time feedback to skiers

What’s next ?

Hyper-rationalism & magical experiences