© Annalect Datascience 2014 | confidential
George Maynard,
Group Head of DataScience, Annalect
How are media agencies coping with the data
revolution?
© Annalect Datascience 2014 | confidential
So why are we here?
2
© Annalect Datascience 2014 | confidential
Technology has changed our behaviour
3
Which this year will generate 4 zetabytes
2.6
3.3
4.2
5.2
6.4
7.7
0
1
2
3
4
5
6
7
8
9
2012 2013 2014 2015 2016 2017
GlobalDataCentreIPTraffic
(Zetabytes)
Source: Cisco - http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
© Annalect Datascience 2014 | confidential
For context that is equivalent to everybody on
earth tweeting constantly for over 400 years*
5
2014 - 2414
* Based on EMC definition of 1 ZB
© Annalect Datascience 2014 | confidential
Just enough to fit on the NSA’s data centre in
Utah…
6
…they have 5ZB
© Annalect Datascience 2014 | confidential
So how are we coping with the data revolution?
7
© Annalect Datascience 2014 | confidential
Defining it - The 3 V’s
8
Velocity
Volume
Variety
Gartner: 2001
© Annalect Datascience 2014 | confidential
The 4 V’s
9
Velocity
Volume
Variety
Veracity Value…
Gartner: 2001
+
IBM: 2012
© Annalect Datascience 2014 | confidential
More V’s - even the definition has expanded
10
Velocity
Volume
Variety
Veracity Value…
Gartner: 2001
+ +
IBM: 2012
© Annalect Datascience 2014 | confidential
What does this mean for media agencies?
11
© Annalect Datascience 2014 | confidential
Our raison d’être
12
Source: http://www.marketingtech.org/wp-content/uploads/2013/09/Brand-vs-Consumer.jpg
© Annalect Datascience 2014 | confidential
How this used to work
13
Source: http://blog.gsdm.com/wp-content/uploads/2011/10/social-media-graphic-consumer-perspective-traditional-era1.jpg
© Annalect Datascience 2014 | confidential
Now it’s much more complicated
14
© Annalect Datascience 2014 | confidential 15
How is this impacting us?
© Annalect Datascience 2014 | confidential
3 billion data points coming in every single day
16
and more…
© Annalect Datascience 2014 | confidential
All this is increasing faster than we thought
17
OMG data growth
Original Estimate
Revised Estimate
(Late 2013)
Current Estimate
Actual Usage
© Annalect Datascience 2014 | confidential
What do Jack Bauer and big data have in
common?
18
© Annalect Datascience 2014 | confidential 19
© Annalect Datascience 2014 | confidential
Programmatic buying has led to Real Time
Bidding (RTB) via agency trading desks
20
DSP
Trading Desk
© Annalect Datascience 2014 | confidential
From DSPs to DMPs – Essentially acting as
Cookie junctions
21
© Annalect Datascience 2014 | confidential
Even more ways to reach specific micro
audiences
22
© Annalect Datascience 2014 | confidential
Old world and new world coming together
23
© Annalect Datascience 2014 | confidential
“The secret of change is to focus all of your energy,
not on fighting the old, but on building the new.”
- Socrates
24
New infrastructure required
Rackspace
© Annalect Datascience 2014 | confidential
New people required
Me
Who knows
Python?
© Annalect Datascience 2014 | confidential
New people requiredAnd ‘traditional’ media-types need to get on board
“We are already making the technical leaps
necessary within pockets of our organisations,
but rather than be just a team or specialism,
data-centricity is one way of describing a
broadly-adopted skill and mindset in itself.”
- Dylan Mouratsing (Evidence Director, Manning Gottlieb OMD)
© Annalect Datascience 2014 | confidential
And we’re having to communicate more
28
© Annalect Datascience 2014 | confidential
“The only constant is change.”
- Heraclitus
29
© Annalect Datascience 2014 | confidential
Open Data
30
© Annalect Datascience 2014 | confidential
Open vs. Private
31
© Annalect Datascience 2014 | confidential
Robots – Friend or Foe?
32
© Annalect Datascience 2014 | confidential
We still need clever and creative thinkers!
33
Thank you
George Maynard
george.maynard@omnicommediagroup.com
34

How media agencies solve the big data revolution

  • 1.
    © Annalect Datascience2014 | confidential George Maynard, Group Head of DataScience, Annalect How are media agencies coping with the data revolution?
  • 2.
    © Annalect Datascience2014 | confidential So why are we here? 2
  • 3.
    © Annalect Datascience2014 | confidential Technology has changed our behaviour 3
  • 4.
    Which this yearwill generate 4 zetabytes 2.6 3.3 4.2 5.2 6.4 7.7 0 1 2 3 4 5 6 7 8 9 2012 2013 2014 2015 2016 2017 GlobalDataCentreIPTraffic (Zetabytes) Source: Cisco - http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
  • 5.
    © Annalect Datascience2014 | confidential For context that is equivalent to everybody on earth tweeting constantly for over 400 years* 5 2014 - 2414 * Based on EMC definition of 1 ZB
  • 6.
    © Annalect Datascience2014 | confidential Just enough to fit on the NSA’s data centre in Utah… 6 …they have 5ZB
  • 7.
    © Annalect Datascience2014 | confidential So how are we coping with the data revolution? 7
  • 8.
    © Annalect Datascience2014 | confidential Defining it - The 3 V’s 8 Velocity Volume Variety Gartner: 2001
  • 9.
    © Annalect Datascience2014 | confidential The 4 V’s 9 Velocity Volume Variety Veracity Value… Gartner: 2001 + IBM: 2012
  • 10.
    © Annalect Datascience2014 | confidential More V’s - even the definition has expanded 10 Velocity Volume Variety Veracity Value… Gartner: 2001 + + IBM: 2012
  • 11.
    © Annalect Datascience2014 | confidential What does this mean for media agencies? 11
  • 12.
    © Annalect Datascience2014 | confidential Our raison d’être 12 Source: http://www.marketingtech.org/wp-content/uploads/2013/09/Brand-vs-Consumer.jpg
  • 13.
    © Annalect Datascience2014 | confidential How this used to work 13 Source: http://blog.gsdm.com/wp-content/uploads/2011/10/social-media-graphic-consumer-perspective-traditional-era1.jpg
  • 14.
    © Annalect Datascience2014 | confidential Now it’s much more complicated 14
  • 15.
    © Annalect Datascience2014 | confidential 15 How is this impacting us?
  • 16.
    © Annalect Datascience2014 | confidential 3 billion data points coming in every single day 16 and more…
  • 17.
    © Annalect Datascience2014 | confidential All this is increasing faster than we thought 17 OMG data growth Original Estimate Revised Estimate (Late 2013) Current Estimate Actual Usage
  • 18.
    © Annalect Datascience2014 | confidential What do Jack Bauer and big data have in common? 18
  • 19.
    © Annalect Datascience2014 | confidential 19
  • 20.
    © Annalect Datascience2014 | confidential Programmatic buying has led to Real Time Bidding (RTB) via agency trading desks 20 DSP Trading Desk
  • 21.
    © Annalect Datascience2014 | confidential From DSPs to DMPs – Essentially acting as Cookie junctions 21
  • 22.
    © Annalect Datascience2014 | confidential Even more ways to reach specific micro audiences 22
  • 23.
    © Annalect Datascience2014 | confidential Old world and new world coming together 23
  • 24.
    © Annalect Datascience2014 | confidential “The secret of change is to focus all of your energy, not on fighting the old, but on building the new.” - Socrates 24
  • 25.
  • 26.
    © Annalect Datascience2014 | confidential New people required Me Who knows Python?
  • 27.
    © Annalect Datascience2014 | confidential New people requiredAnd ‘traditional’ media-types need to get on board “We are already making the technical leaps necessary within pockets of our organisations, but rather than be just a team or specialism, data-centricity is one way of describing a broadly-adopted skill and mindset in itself.” - Dylan Mouratsing (Evidence Director, Manning Gottlieb OMD)
  • 28.
    © Annalect Datascience2014 | confidential And we’re having to communicate more 28
  • 29.
    © Annalect Datascience2014 | confidential “The only constant is change.” - Heraclitus 29
  • 30.
    © Annalect Datascience2014 | confidential Open Data 30
  • 31.
    © Annalect Datascience2014 | confidential Open vs. Private 31
  • 32.
    © Annalect Datascience2014 | confidential Robots – Friend or Foe? 32
  • 33.
    © Annalect Datascience2014 | confidential We still need clever and creative thinkers! 33
  • 34.