Big data and big content

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#AIIM12 Perspec’ves on Big Data Why Should You Care? John Mancini, AIIM @jmancini77 DigitalLandfill.org

description

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

Transcript of Big data and big content

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#AIIM12  

Perspec'ves  on  Big  Data  Why  Should  You  Care?  

John  Mancini,  AIIM  @jmancini77  

DigitalLandfill.org  

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Era  

Years  

Typical  thing  

managed  

Best  known  company  

Content  mgmt  focus  

Mainframe  

1960-­‐1975  

A  batch  trans  

IBM  

Microfilm  

Mini  

1975-­‐1992  

A  dept  process  

Digital  Equipment  

Image  Mgmt  

PC  

1992-­‐2001  

A  document  

MicrosoR  

Document  Mgmt  

Internet  

2001-­‐2009  

A  web  page  

Google  

Content  Mgmt  

Social  and  Cloud  

2010-­‐2015  

An  interacUon  

Facebook  

Social  Business  Systems  

Systems  of  Record  

Systems  of  Engagement  

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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  

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Massive  Volumes  of  Informa'on  

•  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.    

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0%   20%   40%   60%   80%   100%  

Structured  data  

Unstructured  data  

5  Fully   4   3   2   1-­‐Poorly   Unsure  

Considered  overall,  to  what  degree  does  your  organiza'on  exploit  its  informa'on  assets  for  

analysis  and  decision  making  purposes?  

Source:    Online  survey  of  Register  readers,  122  respondents,  first  half  of  November  2011,  Freeform  Dynamics  

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Structured  InformaUon  i.e.,  “data”  

Unstructured  InformaUon  i.e.,  “content”   Managed  in  

ECM  &  ERM  systems  

HIGH  DENSITY  

Managed  via  tradiUonal  BI  and  Data  

Warehousing  

Currently  unmanaged  

Value  of  InformaUon  per  Unit  to  OrganizaUon  

BIG  DATA  

Original  concept  –  Freeform  Dynamics  

2  

3  

LOW  DENSITY  

Social,  images,  audio,  video,  text  

BIG  CONTENT  

Key  driver  #1:    COST  revoluUonized  by  cloud,  HADOOP,  NoSQL  

Key  driver  #2:  USABILITY  revoluUonized  by  advances  in  semanUcs,  search,  content  &  text  analyUcs,  print  stream  analyUcs,  NLP,  

and  visualizaUon    

4  

5  

6  

Volume,  Velocity,  Variety,  Complexity  

Systems  of  Record   Systems  of  Engagement  1  

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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  

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Vendor  opportuni'es  

§  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.  

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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  

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Cool  stuff  

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Mining  social  streams…  for  predic'ons  about  the  next  hit…  

nextbigsound.com  

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Mining  social  streams…for  the  best  food  DishUp.com  

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Mining  social  streams…for  drug  info  Treato.com  

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Using  text  analy'cs  to  mo'vate  voters  

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Taking  Watson  to  finance  and  healthcare  

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Using  sta's'cal  analysis  to  predict  tastes