A PresentaHon from Big Data


A PresentaHon from Big Data - Rackcdn.comb219de03d4fa586d9adb-0e04f025bcde650ce6d504251ebbc914.r60.cf3.rackcdn.com/J...

1 downloads 184 Views 10MB Size

A  Presenta*on  from   Big  Data   22  February  2013  

Measuring Live Population Movements & Web Behaviour via a Mobile Carriers Big Data  

James  Randall   Ipsos  MORI  

All  copyright  owned  by  The  Future  Place  and  the  presenters  of  the  material   For  more  informa:on  about  NewMR  events  visit  NewMR.org  

How MR harnesses the power of BIG Data – Case Studies on Mobile Operators James Randall, Ipsos MORI [email protected] @jamesLDRandall

James Randall, Ipsos MORI, UK Big Data, 22 February 2013

BIG Data – new approaches need new partnerships

Assets   27  Million  Customers   1bn  rows  of  data  per  hour   Unique  data  sets  

Assets   Largest  UK  Research  En:ty   Major  key  clients   1000+  researchers  &  analysts  

Role   Analy:cs  exper:se   Investment  in  Real  :me     Analy:cs  and  Big  Data  

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

Delivering:   Data  Analy:cs   Mobile  Based   Sampling  

THE  

LEAP   THE   OF  FAITH...   LEAP   OF  FAITH...   James Randall, Ipsos MORI, UK Big Data, 22 February 2013

A typical client brief

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?  

James Randall, Ipsos MORI, UK Big Data, 22 February 2013

What about using EE location & URL Behavioural Data? 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

6

How do we do it?

Geo  fence  stadia  via  cell  towers  to  sample  those  aRending  the  match  

08:00 14:00 2x  

A[er   During   Before  

Na:on   Football   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

Oxford Circus Mobile Shopping - Saturday 24/11 121,343  customers  iden*fied  between  9am  and  9pm     24%  customers   using  Mobile   Web/  Apps  

7%  Commerce  Based   4.5%  m-­‐commerce  only   53  different  sites  

2.5%  physical  retailer   83  different  sites  

391  went  on  LinkedIn  while  364  visited  one  Adult  SIte   James Randall, Ipsos MORI, UK Big Data, 22 February 2013

Key concepts 1.  Popula:on   Movements  

2.  Mobile   Adver:sing  

4.  Mobile  Finance  

3.  Video   Streaming  

5.  Web  Analy:cs  

James Randall, Ipsos MORI, UK Big Data, 22 February 2013

12

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 [email protected] @jamesLDRandall

James Randall, Ipsos MORI, UK Big Data, 22 February 2013