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Big data and big content
 

Big data and big content

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Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- ...

Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html

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Big data and big content Big data and big content Presentation Transcript

  • #AIIM12  Perspecves  on  Big  Data  Why  Should  You  Care?   John  Mancini,  AIIM   @jmancini77   DigitalLandfill.org  
  • Systems  of  Engagement   Social  and   Era   Mainframe   Mini   PC   Internet   Cloud   Systems  of  Record   Years   1960-­‐1975   1975-­‐1992   1992-­‐2001   2001-­‐2009   2010-­‐2015   Typical   A  batch   A  dept   A   An   thing   A  web  page   trans   process   document   interacUon   managed  Best  known   Digital   IBM   MicrosoR   Google   Facebook   company   Equipment   Social   Content   Image   Document   Content   Microfilm   Business  mgmt  focus   Mgmt   Mgmt   Mgmt   Systems  
  • Systems  of  Engagement  •  For  the  past  decade,  companies  have  been  accumula5ng  data   in  what  we  call  a  system  of  record.    Those  who  survive  going   forward  will  also  have  systems  of  engagement  –   h=p://www.aiim.org/futurehistory  -­‐-­‐  start  with  evalua5ng   how  you  can  have  a  relevant  conversa5on  with  each   individual  customer  across  all  channels.    And  insuring  you   have  the  analy5cal  capability  and  the  data  to  support  that   analysis.    That  is  where  the  linkage  is  between  the  system  of   record  data  to  system  of  engagement.  On  the  technology  side,   we  believe  the  future  of  handling  this  volume  lies  in  leveraging   the  capability  of  the  cloud.   •  Yuchon  Lee,  Vice  President,  IBM  
  • Massive  Volumes  of  Informaon  •  Per  Fortune,  by  2020,  Internet  connected   devices  will  grow  from  400  million  today  to  50   billion.    These  devices  will  be  talking  to  each   other  and  to  the  Internet.    By  2020,  it  is  also   predicted  that  our  smart  phones  will  have  the   capability  of  storing  and  accessing  as  much   informaUon  as  IBM’s  Watson  and  super-­‐ computers  can.    
  • Considered  overall,  to  what  degree  does  your   organizaon  exploit  its  informaon  assets  for   analysis  and  decision  making  purposes?   0%   20%   40%   60%   80%   100%   Structured  data   Unstructured  data   5  Fully   4   3   2   1-­‐Poorly   Unsure  Source:    Online  survey  of  Register  readers,  122  respondents,  first  half  of  November  2011,  Freeform  Dynamics  
  • Value  of  InformaUon  per  Unit  to  OrganizaUon   1   HIGH  DENSITY   LOW  DENSITY   Systems  of  Record   Systems  of  Engagement   4   Key  driver  #1:    COST  revoluUonized  by   cloud,  HADOOP,  NoSQL   Managed  via  Structured  InformaUon   tradiUonal  BI   and  Data   3   BIG  DATA  i.e.,  “data”   Warehousing   Volume,  Velocity,  Variety,  Complexity   2   6   BIG  CONTENT   Currently  Unstructured   unmanaged   Social,  images,  audio,  video,  text  InformaUon  i.e.,  “content”   Managed  in   ECM  &  ERM   5   systems   Key  driver  #2:  USABILITY  revoluUonized  by   advances  in  semanUcs,  search,  content  &   text  analyUcs,  print  stream  analyUcs,  NLP,   and  visualizaUon    Original  concept  –  Freeform  Dynamics  
  • What  kinds  of  business  problems  can   big  data  help  address?   •  Modeling  risk  and  failure  predicUon   •  Analyzing  customer  churn   •  Web  recommendaUons  (ala  Amazon)   •  Web  ad  targeUng   •  Point  of  sale  transacUon  analysis   •  Threat  analysis   •  Compliance  and  search  effecUveness  Source  –  Cloudera.com  
  • Vendor  opportunies  §  Move  “Big”  value  proposiUon  from  reduced  cost  to  new  value   §  “Big  data”  vendors  –  extend  reach  beyond  pure  data  by   helping  organizaUons  extract  value  and  extend  analyUc   techniques  to  unmanaged  unstructured  informaUon.   §  “Big  content”  vendors  –  extend  reach  beyond  tradiUonal   “high-­‐value”  (largely  document-­‐centric)  content  to  find   value  in  massive  new  quanUUes  of  unstructured   informaUon.  
  • AIIM’s  Plans  –  and  where  you  can  connect  •  AIIM  Industry  Watch   •  Late  May  publish;  survey  to  go  live  the  first  week  of  April.     •  Those  who  commit  to  sponsoring  by  the  end  of  March   can  see  the  draR  quesUons  and  weigh  in.  •  AIIM  Webinars   •  Archiving  &  Governance  in  the  Big  Data  Era,  April  11   •  Big  Data/Big  Content  (based  on  survey),  June  20  •  Execu5ve  Leadership  Council   •  Understanding  Big  Data  and  its  Impact  on  Buyer   Behavior   •  London,  Sept  6  -­‐  7  for  the  European  Council   •  Dallas,  Nov  29  -­‐  30  for  the  American  Council   •  White  paper  and  all  deliverables  extensively   distributed  
  • Cool  stuff  
  • Mining  social   streams…   for  predicons   about  the  next   hit…  nextbigsound.com  
  • Mining  social  streams…for  the  best  food   DishUp.com  
  • Mining  social  streams…for  drug  info   Treato.com  
  • Using  text  analycs  to  movate  voters  
  • Taking  Watson  to  finance  and  healthcare  
  • Using  stascal  analysis  to  predict  tastes