Download - Introduction to Big data, March 2013
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