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A	
  Presenta*on	
  from	
  
Big	
  Data	
  
22	
  February	
  2013	
  
Measuring Live Population Movements & Web Behaviour via a Mobile
Carriers Big Data	
  
All	
  copyright	
  owned	
  by	
  The	
  Future	
  Place	
  and	
  the	
  presenters	
  of	
  the	
  material	
  
For	
  more	
  informa:on	
  about	
  NewMR	
  events	
  visit	
  NewMR.org	
  
James	
  Randall	
  
Ipsos	
  MORI	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
How MR harnesses the power of
BIG Data – Case Studies on
Mobile Operators
James Randall, Ipsos MORI
james.randall@ipsos.com
@jamesLDRandall
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
BIG Data – new approaches need new
partnerships
Delivering:	
  
Data	
  Analy:cs	
  
Mobile	
  Based	
  
Sampling	
  
Assets	
  
27	
  Million	
  Customers	
  
1bn	
  rows	
  of	
  data	
  per	
  hour	
  
Unique	
  data	
  sets	
  
Role	
  
Analy:cs	
  exper:se	
  
Investment	
  in	
  Real	
  :me	
  	
  
Analy:cs	
  and	
  Big	
  Data	
  
Assets	
  
Largest	
  UK	
  Research	
  En:ty	
  
Major	
  key	
  clients	
  
1000+	
  researchers	
  &	
  analysts	
  
Role	
  
Research	
  and	
  Analy:cs	
  exper:se	
  
InsighTul	
  repor:ng	
  &	
  
Data	
  Visualisa:on	
  	
  
Route	
  to	
  market	
  for	
  	
  
Innova:ve	
  Research	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
LEAP	
  
FAITH...	
  
THE	
  
OF	
  
LEAP	
  
FAITH...	
  
THE	
  
OF	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
Who	
  aWends	
  football	
  matches	
  and	
  
what	
  do	
  they	
  browse	
  whilst	
  there?	
  
….we’d	
  like	
  to	
  beWer	
  understand	
  the	
  
online	
  opportunity	
  at	
  live	
  spor:ng	
  
events.	
  
Can	
  you	
  provide	
  a	
  cost	
  for	
  
an	
  online	
  or	
  telephone	
  
survey?	
  
A typical client brief
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
What about using EE location & URL
Behavioural Data?
6
We	
  can	
  iden*fy	
  mobile	
  use	
  at	
  the	
  match	
  vs.	
  control	
  loca*ons	
  
Iden*fy	
  the	
  demographics	
  
by	
  loca*on	
  
Web	
  &	
  web	
  based	
  
app	
  by	
  taxonomy:	
  
• Shopping	
  
• 	
  Finance	
  
• Social	
  Networking	
  
• Search	
  
• Mapping	
  
Iden*fy	
  the	
  volume	
  of	
  
people	
  by	
  loca*on	
  
Measure:	
  
No.	
  of	
  interac*ons	
  
No.	
  of	
  sessions	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
A[er	
  
How do we do it?
Geo	
  fence	
  stadia	
  via	
  cell	
  towers	
  to	
  sample	
  those	
  aRending	
  the	
  match	
  
14:0008:00
During	
  Before	
  
2x	
  
Football	
  
Na:on	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
24%	
  customers	
  
using	
  Mobile	
  
Web/	
  Apps	
  
121,343	
  customers	
  iden*fied	
  between	
  9am	
  and	
  9pm	
  	
  
7%	
  Commerce	
  Based	
  
4.5%	
  m-­‐commerce	
  only	
  
53	
  different	
  sites	
  
2.5%	
  physical	
  retailer	
  
83	
  different	
  sites	
  
Oxford Circus Mobile Shopping - Saturday 24/11
391	
  went	
  on	
  LinkedIn	
  while	
  364	
  visited	
  one	
  Adult	
  SIte	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
12
Key concepts
1.	
  Popula:on	
  
Movements	
  
2.	
  Mobile	
  
Adver:sing	
  
3.	
  Video	
  
Streaming	
  
4.	
  Mobile	
  Finance	
   5.	
  Web	
  Analy:cs	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
Q & A
James	
  Randall	
  
Ipsos	
  MORI	
  
Ray	
  Poynter	
  
Vision	
  Cri:cal	
  University	
  
James Randall, Ipsos MORI, UK
Big Data, 22 February 2013
James Randall, Ipsos MORI
james.randall@ipsos.com
@jamesLDRandall

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James randall big data - 2013

  • 1. A  Presenta*on  from   Big  Data   22  February  2013   Measuring Live Population Movements & Web Behaviour via a Mobile Carriers Big Data   All  copyright  owned  by  The  Future  Place  and  the  presenters  of  the  material   For  more  informa:on  about  NewMR  events  visit  NewMR.org   James  Randall   Ipsos  MORI  
  • 2. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 How MR harnesses the power of BIG Data – Case Studies on Mobile Operators James Randall, Ipsos MORI james.randall@ipsos.com @jamesLDRandall
  • 3. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 BIG Data – new approaches need new partnerships Delivering:   Data  Analy:cs   Mobile  Based   Sampling   Assets   27  Million  Customers   1bn  rows  of  data  per  hour   Unique  data  sets   Role   Analy:cs  exper:se   Investment  in  Real  :me     Analy:cs  and  Big  Data   Assets   Largest  UK  Research  En:ty   Major  key  clients   1000+  researchers  &  analysts   Role   Research  and  Analy:cs  exper:se   InsighTul  repor:ng  &   Data  Visualisa:on     Route  to  market  for     Innova:ve  Research  
  • 4. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 LEAP   FAITH...   THE   OF   LEAP   FAITH...   THE   OF  
  • 5. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 Who  aWends  football  matches  and   what  do  they  browse  whilst  there?   ….we’d  like  to  beWer  understand  the   online  opportunity  at  live  spor:ng   events.   Can  you  provide  a  cost  for   an  online  or  telephone   survey?   A typical client brief
  • 6. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 What about using EE location & URL Behavioural Data? 6 We  can  iden*fy  mobile  use  at  the  match  vs.  control  loca*ons   Iden*fy  the  demographics   by  loca*on   Web  &  web  based   app  by  taxonomy:   • Shopping   •   Finance   • Social  Networking   • Search   • Mapping   Iden*fy  the  volume  of   people  by  loca*on   Measure:   No.  of  interac*ons   No.  of  sessions  
  • 7. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 A[er   How do we do it? Geo  fence  stadia  via  cell  towers  to  sample  those  aRending  the  match   14:0008:00 During  Before   2x   Football   Na:on  
  • 8. James Randall, Ipsos MORI, UK Big Data, 22 February 2013
  • 9. James Randall, Ipsos MORI, UK Big Data, 22 February 2013
  • 10. James Randall, Ipsos MORI, UK Big Data, 22 February 2013
  • 11. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 24%  customers   using  Mobile   Web/  Apps   121,343  customers  iden*fied  between  9am  and  9pm     7%  Commerce  Based   4.5%  m-­‐commerce  only   53  different  sites   2.5%  physical  retailer   83  different  sites   Oxford Circus Mobile Shopping - Saturday 24/11 391  went  on  LinkedIn  while  364  visited  one  Adult  SIte  
  • 12. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 12 Key concepts 1.  Popula:on   Movements   2.  Mobile   Adver:sing   3.  Video   Streaming   4.  Mobile  Finance   5.  Web  Analy:cs  
  • 13. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 Q & A James  Randall   Ipsos  MORI   Ray  Poynter   Vision  Cri:cal  University  
  • 14. James Randall, Ipsos MORI, UK Big Data, 22 February 2013 James Randall, Ipsos MORI james.randall@ipsos.com @jamesLDRandall