What is so Big about Big Data? Convenor: Ian ...

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Each panellist will have 10 minutes to present their views on big data and the role of it in Occupational Psychology. This will then be followed by questions from ...
What  is  so  Big  about  Big  Data?     Convenor:  Ian  Bushnell,  University  of  Glasgow  &  DOP  Chair  Elect   Panel:  Max  Blumberg,  Goldsmiths  University,  Eugene  Burke,  CEB-­‐SHL,  Michal   Kosinski,University  of  Cambridge  -­‐  Psychometrics  Centre  and  Richard   Kwiatkowski,  Cranfield  University.   Each  panellist  will  have  10  minutes  to  present  their  views  on  big  data  and  the  role   of  it  in  Occupational  Psychology.  This  will  then  be  followed  by  questions  from  the   convener  or  the  floor  on  what  has  been  presented.  The  session  will  close  on   general  questions  on  the  potential  future  applications  of  big  data  and  its   applications  in  other  fields.   Eugene  Burke,  CEB-­‐SHL   Big  data  has  entered  the  vernacular  of  business  as  evidenced  by  a  recent  Radio  4   Bottom  Line  programme  on  that  very  subject.  In  the  analytics  community,  the   conversation  has  moved  on  to  Big  Insight  and  the  focus  has  shifted  to  how  issues   are  surfaced,  how  the  right  data  is  pulled  together  and  how  the  insights  from   analytics  are  communicated.  In  a  recent  CEB  survey,  85%  of  business  leaders  said   that  more  analytics  was  not  leading  to  better  decision  making  specifically  on   talent  issues.  When  we  turn  to  occupational  psychology  and  the  opportunity  that   Big  Data  and  Talent  Analytics  offers  for  us,  there  is  a  communication  gap  between   our  science  and  the  understanding  of  organisational  leaders  that  needs  to  be   bridged.  An  example  of  how  that  gap  can  be  bridged  will  be  shared  through  a  case   story  of  how  analytics  helped  a  CEO  resolve  people  issues  in  his  business.   Max  Blumberg  ,  Goldsmiths  University   As  a  form  of  descriptive  research,  big  data  can  provide  useful  and  often  rapid   insights  into  “organisational  status  quo”.  It  cannot,  however,  readily  deliver   organisational  change  available  to  occupational  psychologists  via  experimental   and  explanatory  research.  This  session  will  argue  that  a  combination  of  big  data   insight  and  theory-­‐based  experimental  research  are  both  necessary  prerequisites   for  effective  organisational  change.