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What has Why got to do with it
Anyway?
Finding Meaning and Motivation in Big
Data
Finding Meaning and Motivation in Big Data	
  
What has Why got to do With it Anyway
What?	
  	
  And	
  Why?	
  are	
  o)en	
  used	
  as	
  tools	
  to	
  help	
  us	
  drive	
  to	
  deeper	
  levels	
  of	
  
observa4on.	
  These	
  simple	
  probes	
  allow	
  us	
  to	
  move	
  from	
  concrete	
  observa4ons	
  of	
  a	
  
par4cular	
  situa4on	
  to	
  the	
  more	
  abstract	
  emo4ons	
  and	
  mo4ves	
  that	
  are	
  at	
  play	
  in	
  that	
  
situa4on.	
  
	
  	
  
What	
  are	
  we	
  asking	
  when	
  we	
  apply	
  these	
  simple	
  ques4ons	
  to	
  	
  “big	
  data”	
  specifically	
  
those	
  unstructured	
  data	
  bases	
  that	
  assemble	
  consumer	
  behavior	
  across	
  the	
  web?	
  Very	
  
simply,	
  we	
  are	
  seeking	
  to	
  understand	
  the	
  meaning	
  (Why)	
  and	
  the	
  mo4va4ons	
  (What)	
  
that	
  will	
  shed	
  light	
  on	
  understanding	
  the	
  behavior.	
  	
  
	
  	
  
What	
  and	
  Why	
  are	
  related	
  to	
  Mo4va4ons	
  and	
  Meanings.	
  When	
  consumer	
  are	
  visi4ng	
  a	
  
web	
  site,	
  liking	
  a	
  brand,	
  joining	
  a	
  brand	
  community,	
  pos4ng	
  opinions,	
  or	
  officially	
  
reviewing	
  a	
  brand,	
  recommending	
  a	
  brand	
  to	
  a	
  friend,	
  and	
  at	
  finally	
  making	
  a	
  purchase;	
  
at	
  least	
  two	
  ques4ons	
  should	
  be	
  explored.	
  	
  What	
  are	
  the	
  mo4va4ons	
  influencing	
  those	
  
ac4vi4es	
  and	
  the	
  Why	
  	
  that	
  explains	
  the	
  meanings	
  and	
  important	
  experiences	
  with	
  the	
  
brand.	
  
The	
  importance	
  of	
  Why	
  and	
  What	
  is	
  understanding	
  and	
  gaining	
  knowledge	
  for	
  the	
  
purpose	
  of	
  sharpening	
  strategies	
  to	
  improve	
  response,	
  reshape	
  messages	
  and	
  their	
  
placement,	
  target	
  new	
  prospects,	
  develop	
  new	
  consumer	
  brand	
  segmenta4ons,	
  
price	
  more	
  profitably	
  and	
  much	
  more.	
  
	
  
BlackBar	
  Consul4ng	
  and	
  others	
  may	
  have	
  developed	
  models	
  and	
  anapproaches	
  to	
  
integrate	
  Why	
  and	
  What	
  into	
  big	
  data	
  bases.	
  	
  This	
  will	
  enable	
  all	
  of	
  us	
  to	
  explain	
  
the	
  Why	
  and	
  What	
  behind	
  the	
  massive	
  fields	
  of	
  consumer	
  behavioral	
  data.	
  
Consumer	
  mo4va4on	
  and	
  meaning	
  are	
  explained	
  through	
  Consumer	
  Brand	
  
Rela4onships	
  (	
  CBR).	
  	
  These	
  rela4onships	
  have	
  two	
  sides	
  and	
  the	
  rela4onships	
  
form	
  a	
  dialogue	
  that	
  is	
  going	
  on	
  in	
  the	
  consumers	
  head.	
  The	
  consumer’s	
  
percep4ons	
  (	
  the	
  brand’s	
  aQributes)	
  	
  	
  engage	
  with	
  the	
  brand’s	
  projec4ons	
  (	
  how	
  
the	
  consumer	
  internalizes/introjects	
  the	
  brand’s	
  aTtude	
  toward	
  them	
  and	
  their	
  
experiences)	
  .	
  This	
  dialogue	
  is	
  where	
  meaning	
  and	
  mo4va4on	
  meet	
  .	
  .	
  .	
  where	
  
What	
  and	
  Why	
  dance	
  together	
  to	
  explain	
  behavioral	
  data.	
  
	
  	
  
Consumer	
  Brand	
  Rela4onships	
  do	
  a	
  good	
  job	
  explaining	
  and	
  mo4va4ng	
  	
  many	
  of	
  
the	
  Social	
  Brand	
  Behaviors	
  captured	
  in	
  big	
  internet	
  databases.	
  	
  To	
  demonstrate	
  
this	
  strong	
  rela4onship,	
  we	
  create	
  a	
  Social	
  Brand	
  Ac4vity	
  Index	
  (SBAI)	
  that	
  sums	
  up	
  
for	
  each	
  brand	
  some	
  of	
  the	
  following	
  behaviors:	
  “liked”	
  a	
  band	
  on	
  line,	
  joined	
  a	
  
brand	
  fan	
  club,	
  posted,	
  blogged	
  or	
  reviewed	
  a	
  brand	
  on	
  line,	
  recommended	
  a	
  
brand	
  to	
  a	
  friend,	
  searched	
  for	
  it	
  and	
  visited	
  a	
  web	
  site.	
  
	
  
So	
  “What	
  does	
  Why	
  have	
  to	
  do	
  with	
  it	
  anyway”	
  can	
  be	
  answered…A	
  lot.!	
  The	
  
meanings	
  and	
  mo4va4ons	
  that	
  form	
  Consumer	
  Brand	
  Rela4onships	
  have	
  a	
  lot	
  
to	
  do	
  with	
  understanding	
  and	
  impac4ng	
  the	
  consumer	
  brand	
  behavior	
  tracked	
  
in	
  the	
  big	
  internet	
  data	
  bases.	
  And	
  that	
  behavior	
  when	
  correctly	
  combined	
  with	
  
CBR	
  can	
  more	
  efficiently	
  and	
  effec4vely	
  build	
  your	
  consumer	
  brand	
  franchise.	
  	
  

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What has Why got to do with it Anyway?

  • 1. What has Why got to do with it Anyway? Finding Meaning and Motivation in Big Data
  • 2. Finding Meaning and Motivation in Big Data   What has Why got to do With it Anyway
  • 3. What?    And  Why?  are  o)en  used  as  tools  to  help  us  drive  to  deeper  levels  of   observa4on.  These  simple  probes  allow  us  to  move  from  concrete  observa4ons  of  a   par4cular  situa4on  to  the  more  abstract  emo4ons  and  mo4ves  that  are  at  play  in  that   situa4on.       What  are  we  asking  when  we  apply  these  simple  ques4ons  to    “big  data”  specifically   those  unstructured  data  bases  that  assemble  consumer  behavior  across  the  web?  Very   simply,  we  are  seeking  to  understand  the  meaning  (Why)  and  the  mo4va4ons  (What)   that  will  shed  light  on  understanding  the  behavior.         What  and  Why  are  related  to  Mo4va4ons  and  Meanings.  When  consumer  are  visi4ng  a   web  site,  liking  a  brand,  joining  a  brand  community,  pos4ng  opinions,  or  officially   reviewing  a  brand,  recommending  a  brand  to  a  friend,  and  at  finally  making  a  purchase;   at  least  two  ques4ons  should  be  explored.    What  are  the  mo4va4ons  influencing  those   ac4vi4es  and  the  Why    that  explains  the  meanings  and  important  experiences  with  the   brand.  
  • 4. The  importance  of  Why  and  What  is  understanding  and  gaining  knowledge  for  the   purpose  of  sharpening  strategies  to  improve  response,  reshape  messages  and  their   placement,  target  new  prospects,  develop  new  consumer  brand  segmenta4ons,   price  more  profitably  and  much  more.     BlackBar  Consul4ng  and  others  may  have  developed  models  and  anapproaches  to   integrate  Why  and  What  into  big  data  bases.    This  will  enable  all  of  us  to  explain   the  Why  and  What  behind  the  massive  fields  of  consumer  behavioral  data.   Consumer  mo4va4on  and  meaning  are  explained  through  Consumer  Brand   Rela4onships  (  CBR).    These  rela4onships  have  two  sides  and  the  rela4onships   form  a  dialogue  that  is  going  on  in  the  consumers  head.  The  consumer’s   percep4ons  (  the  brand’s  aQributes)      engage  with  the  brand’s  projec4ons  (  how   the  consumer  internalizes/introjects  the  brand’s  aTtude  toward  them  and  their   experiences)  .  This  dialogue  is  where  meaning  and  mo4va4on  meet  .  .  .  where   What  and  Why  dance  together  to  explain  behavioral  data.       Consumer  Brand  Rela4onships  do  a  good  job  explaining  and  mo4va4ng    many  of   the  Social  Brand  Behaviors  captured  in  big  internet  databases.    To  demonstrate   this  strong  rela4onship,  we  create  a  Social  Brand  Ac4vity  Index  (SBAI)  that  sums  up   for  each  brand  some  of  the  following  behaviors:  “liked”  a  band  on  line,  joined  a   brand  fan  club,  posted,  blogged  or  reviewed  a  brand  on  line,  recommended  a   brand  to  a  friend,  searched  for  it  and  visited  a  web  site.    
  • 5.
  • 6.
  • 7. So  “What  does  Why  have  to  do  with  it  anyway”  can  be  answered…A  lot.!  The   meanings  and  mo4va4ons  that  form  Consumer  Brand  Rela4onships  have  a  lot   to  do  with  understanding  and  impac4ng  the  consumer  brand  behavior  tracked   in  the  big  internet  data  bases.  And  that  behavior  when  correctly  combined  with   CBR  can  more  efficiently  and  effec4vely  build  your  consumer  brand  franchise.