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Big Data
For Media Agencies
Javier Campos | CIO EMEA | GroupM - WPP
Data Evolution: media planning data has grown massively…
Data
(1/3) used in traditional media planning (both volume and complexity) has grown massively…
1980

Channels

TV stations

2013
Data Evolution: media planning data has grown massively…
(2/3) … In a number of areas…
2013

1980
Data
sources

Metrics

CPM , CPP

Measurement
points

3

CPM, CPP, CPC, CPL, CP
A
Data Evolution: media planning data has grown massively…
1980
(3/3)
2013

Clients

Spots

4
Understanding the Data growth figures
1980

Nadal‟s tennis ball

2020

Bernabéu (107 x 72 m)

Camp Nou (107 x 72 m)
But the real issue is … Media Industry – Perfect
Storm?
No longer a
linear value
chain with
clearly defined
and distinct
roles

Media
digitalization and
audience
fragmentation

Full merge TV & Internet? :
When an existing network
technology meets the Internet,
IP attributes tend to dominate
the resulting union
Available Data growing exponentially =
>
Big Data is at the heart of all
Let‟s remember what we are trying to do…
Understanding reality: We are continually taking partial “snapshots” of reality through the “Internet of Things” (IoT)
devices …

TIME – t0
TIME – t1
TIME – ti …
… to make some „Big‟ Insight
We do not have the full picture, not even all the snapshots and not at all times… How do you
make sense of a puzzle taken from multiple potentially incomplete ones?
Why Data in Media Planning is so challenging…
“Predictions are very difficult, particularly about the future” (*) … However, we can observe
certain trends from many different points of view (dimensions) and then “triangulate” potential
outcomes….
New Metrics –
Real Time
“official

currency”
User Media
consumption

Media
Marketplace
Media
Planning
Incomplete
Models

Technology

Measurement
points
(*) Niels Bohr

Regulatory/
Privacy
Where does WWP stand in the ecosystem?

Media Owners
Offline

Digital
Realm

Client N data (CRM, sales …)

Client D data (CRM, sales …)

Client C data (CRM, sales …)

Client B data (CRM, sales …)

Client A data (CRM, sales …)

WPP/GroupM is at an unmatched data crossroad…
Real
World

Media Owners
digital
How to reduce risks: Big Data Funnel Considerations
THE REALM OF CONSUMER DATA

INFONOMICS
VISUALISATION

VISUALISATION – Our
computer systems need
an outside view to check
certain propositions

MODELLING &
SEGMENTS

Insights => Big Revenues

INFONOMICS – Not all
data has the same value.
Not all data should be
treated equally…

DATA MODELS &
SEGMENTS– beware
consumer data is just a
proxy, not the actual
customers, how to group
and target consumers…
Big Data Considerations – Modelling
"All models are wrong, but some
are useful.(*)“
-

In 2011, Lotus Formula 1 team tried a very
innovative concept – a forward exhaust. It was a
risky move which came from analysing tons of
simulations

-

Nevertheless, early into the season, they realised
the car performance did improve on the straight
lines but sharply decreased on the bends. The
results was an outperforming car but it was too
late to change

-

The take-away: Extrapolating is both powerful but
risky: The fact your model works for some
(*) George Box – Statistician
scenarios does not guarantee it will work for any
GroupM‟s Data Vision
We are working with the best-of-breed technology not linked to
any particular vendor - Data Management Platforms (DMP)combined with the best talent in the marketplace
Pricing and inventory
optimisation

External Data
DMP

Advanced Analytics
client data

Master data and
operational data

Client DMP

Enterprise
DMP
Merging TV and online – a reality
We have been working with the key players in the sector for several years in this topic… GroupM
US did a pilot with Kantar and Direct TV in 2011 in addressable TV.
Addressable TV & hybrid Panels

Combined Digital Analytics
Data as the new oil
Access to the right Insights has been at the heart of many business models since the beginning of
the economy, Big Data – or rather The World‟s „datification‟ through IoT – will only accentuate this…
Mad vs Math Man ( CMO vs CIO)
In closing, these ideas lie at the heart of the crossroad between “Mad vs Math men” or “CIO vs CMO”
You need to combine the best of both of them….

25% to 50 %
waste…

Data science very young and still
with theoretical gaps – notably
Gödel's incompleteness
theorem…

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7 javier big_data

  • 1. Big Data For Media Agencies Javier Campos | CIO EMEA | GroupM - WPP
  • 2. Data Evolution: media planning data has grown massively… Data (1/3) used in traditional media planning (both volume and complexity) has grown massively… 1980 Channels TV stations 2013
  • 3. Data Evolution: media planning data has grown massively… (2/3) … In a number of areas… 2013 1980 Data sources Metrics CPM , CPP Measurement points 3 CPM, CPP, CPC, CPL, CP A
  • 4. Data Evolution: media planning data has grown massively… 1980 (3/3) 2013 Clients Spots 4
  • 5. Understanding the Data growth figures 1980 Nadal‟s tennis ball 2020 Bernabéu (107 x 72 m) Camp Nou (107 x 72 m)
  • 6. But the real issue is … Media Industry – Perfect Storm? No longer a linear value chain with clearly defined and distinct roles Media digitalization and audience fragmentation Full merge TV & Internet? : When an existing network technology meets the Internet, IP attributes tend to dominate the resulting union Available Data growing exponentially = > Big Data is at the heart of all
  • 7. Let‟s remember what we are trying to do… Understanding reality: We are continually taking partial “snapshots” of reality through the “Internet of Things” (IoT) devices … TIME – t0 TIME – t1 TIME – ti …
  • 8. … to make some „Big‟ Insight We do not have the full picture, not even all the snapshots and not at all times… How do you make sense of a puzzle taken from multiple potentially incomplete ones?
  • 9. Why Data in Media Planning is so challenging… “Predictions are very difficult, particularly about the future” (*) … However, we can observe certain trends from many different points of view (dimensions) and then “triangulate” potential outcomes…. New Metrics – Real Time “official currency” User Media consumption Media Marketplace Media Planning Incomplete Models Technology Measurement points (*) Niels Bohr Regulatory/ Privacy
  • 10. Where does WWP stand in the ecosystem? Media Owners Offline Digital Realm Client N data (CRM, sales …) Client D data (CRM, sales …) Client C data (CRM, sales …) Client B data (CRM, sales …) Client A data (CRM, sales …) WPP/GroupM is at an unmatched data crossroad… Real World Media Owners digital
  • 11. How to reduce risks: Big Data Funnel Considerations THE REALM OF CONSUMER DATA INFONOMICS VISUALISATION VISUALISATION – Our computer systems need an outside view to check certain propositions MODELLING & SEGMENTS Insights => Big Revenues INFONOMICS – Not all data has the same value. Not all data should be treated equally… DATA MODELS & SEGMENTS– beware consumer data is just a proxy, not the actual customers, how to group and target consumers…
  • 12. Big Data Considerations – Modelling "All models are wrong, but some are useful.(*)“ - In 2011, Lotus Formula 1 team tried a very innovative concept – a forward exhaust. It was a risky move which came from analysing tons of simulations - Nevertheless, early into the season, they realised the car performance did improve on the straight lines but sharply decreased on the bends. The results was an outperforming car but it was too late to change - The take-away: Extrapolating is both powerful but risky: The fact your model works for some (*) George Box – Statistician scenarios does not guarantee it will work for any
  • 13. GroupM‟s Data Vision We are working with the best-of-breed technology not linked to any particular vendor - Data Management Platforms (DMP)combined with the best talent in the marketplace Pricing and inventory optimisation External Data DMP Advanced Analytics client data Master data and operational data Client DMP Enterprise DMP
  • 14. Merging TV and online – a reality We have been working with the key players in the sector for several years in this topic… GroupM US did a pilot with Kantar and Direct TV in 2011 in addressable TV. Addressable TV & hybrid Panels Combined Digital Analytics
  • 15. Data as the new oil Access to the right Insights has been at the heart of many business models since the beginning of the economy, Big Data – or rather The World‟s „datification‟ through IoT – will only accentuate this…
  • 16. Mad vs Math Man ( CMO vs CIO) In closing, these ideas lie at the heart of the crossroad between “Mad vs Math men” or “CIO vs CMO” You need to combine the best of both of them…. 25% to 50 % waste… Data science very young and still with theoretical gaps – notably Gödel's incompleteness theorem…

Editor's Notes

  1. Reach: an increasingly elusive commodity. They pay premiums for simultaneous reach, they do not pay premiums for fragments that require aggregation; such is the curse of the long tail.Precision: an increasingly available waste reduction commodity made possible by geo-personal targeting filters and delivery technologies that identify in-market prospects at the most granular levels and that joyously, creates the potential for meaningful video strategies for almost any brand.Outcomes: Google and some re-targeting businesses built a handy enterprise by connecting advertising costs with commercial outcomes. Costs of goods sold, not expenses.Affluence: rich people trade at a premium to less rich people; willingness and ability to pay have always defined economic value.Influence: people whose opinion are valued and acted on by other people is worth more than the average.