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The	
  New	
  Normal:	
  Get	
  Ready	
  
                         for	
  the	
  Era	
  of	
  Extreme	
  
                         Informa7on	
  Management	
  




John	
  Mancini	
  
President,	
  AIIM	
  
@jmancini77	
  
DigitalLandfill.org	
  
Giving	
  Credit	
  Where	
  Credit	
  is	
  Due…	
  
	
  
I	
  didn’t	
  make	
  up	
  the	
  term	
  “Extreme	
  Informa7on	
  
Management”	
  
	
  
I	
  first	
  heard	
  it	
  used	
  by	
  Gartner.	
  
	
  
But	
  I	
  like	
  it	
  a	
  lot.	
  
Big	
  Data	
  is	
  not	
  just	
  “more	
  data.”	
  
   	
  -­‐-­‐Thornton	
  May	
  
The	
  Chessboard	
  Fable	
  
We	
  are	
  reaching	
  the	
  2nd	
  half	
  of	
  
“Moore’s	
  Chessboard,”	
  drama7cally	
  
changing	
  what	
  informa7on	
  means	
  to	
  
our	
  organiza7ons	
  and	
  how	
  it	
  must	
  be	
  
managed.	
  
aiim.org/futurehistory	
  
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	
                               interac7on	
  
 managed	
  


Best	
  known	
                            Digital	
  
                         IBM	
                             Microso`	
           Google	
            Facebook	
  
 company	
                               Equipment	
  


                                                                                                      Social	
  
 Content	
                                  Image	
        Document	
          Content	
  
                    Microfilm	
                                                                       Business	
  
mgmt	
  focus	
                             Mgmt	
           Mgmt	
             Mgmt	
  
                                                                                                     Systems	
  
Considera*on	
              Systems	
  of	
  Record	
             Systems	
  of	
  Engagement	
  
Focus	
                     Transac7ons	
                         Interac7ons	
  
Governance	
                Command	
  &	
  Control	
             Collabora7on	
  
Core	
  Elements	
          Facts	
  &	
  Commitments	
           Ideas	
  &	
  Nuances	
  
Value	
                     Single	
  Source	
  of	
  Truth	
     Discovery	
  &	
  Dialog	
  
Standard	
                  Accurate	
  &	
  Complete	
           Immediate	
  &	
  Accessible	
  
Content	
                   Authored	
                            Communal	
  
Primary	
  Record	
  Type	
   Documents	
                         Conversa7ons	
  
Searchability	
             Easy	
                                Hard	
  
Usability	
                 User	
  is	
  trained	
               User	
  “knows”	
  	
  
Accessibility	
             Regulated	
  &	
  Contained	
         Ad	
  Hoc	
  &	
  Open	
  
Reten7on	
                  Permanent	
                           Transient	
  
Policy	
  Focus	
           Security	
  (Protect	
  Assets)	
     Privacy	
  (Protect	
  Users)	
  
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	
  
Our	
  5-­‐Point	
  
Manifesto	
  
1.  Commit	
  to	
  the	
  cloud.	
  
2.  Mobilize	
  everything.	
  
3.  Make	
  the	
  business	
  
    social.	
  
4.  Digi7ze	
  anything	
  that	
  
    moves.	
  
5.  Prepare	
  for	
  
    informa7on	
  
    management	
  on	
  a	
  
    massive	
  scale.	
  
According	
  to	
  IDC	
  –	
  Between	
  
now	
  and	
  2020…	
  
•  44X	
  growth	
  in	
  
   informa7on	
  
•  75X	
  growth	
  in	
  
   informa7on	
  “containers”	
  
BUT…	
  
•  1.4X	
  growth	
  in	
  IT	
  
   professionals	
  
The	
  drama7c	
  changes	
  in	
  the	
  
consumer	
  space	
  provide	
  a	
  hint	
  as	
  to	
  
what	
  is	
  coming…	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Source	
  =	
  hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/	
  
Prepare	
  for	
  extreme	
  informa7on	
  management.	
  
We	
  are	
  moving	
  from	
  the	
  Systems	
  of	
  
Record	
  era	
  in	
  which	
  our	
  focus	
  was	
  on	
  
high-­‐value	
  informa7on	
  assets	
  to	
  the	
  
Systems	
  of	
  Engagement	
  era	
  in	
  which	
  
volume	
  and	
  complexity	
  and	
  velocity	
  
are	
  increasingly	
  drama7cally.	
  
Value	
  of	
  Informa7on	
  per	
  Unit	
  to	
  Organiza7on	
  
                                HIGH	
  DENSITY	
  
                              Systems	
  of	
  Record	
  

                                1	
  
                                        Managed	
  via	
  
Structured	
                            tradi7onal	
  BI	
  
Informa7on	
                              and	
  Data	
  
i.e.,	
  “data”	
                       Warehousing	
  




Original	
  concept	
  –	
  Freeform	
  Dynamics	
  
Value	
  of	
  Informa7on	
  per	
  Unit	
  to	
  Organiza7on	
  
                               HIGH	
  Value/Byte	
  
                              Systems	
  of	
  Record	
  

                                1	
  
                                        Managed	
  via	
  
Structured	
                            tradi7onal	
  BI	
  
Informa7on	
                              and	
  Data	
  
i.e.,	
  “data”	
                       Warehousing	
  




                                         2	
  
Unstructured	
                           Currently	
  
Informa7on	
                            unmanaged	
  
i.e.,	
  “content”	
  

                                        Managed	
  in	
  
                                        ECM	
  &	
  ERM	
  
                                          systems	
  



Original	
  concept	
  –	
  Freeform	
  Dynamics	
  
Value	
  of	
  Informa7on	
  per	
  Unit	
  to	
  Organiza7on	
  
                               HIGH	
  Value/Byte	
                                       LOW	
  Value/Byte	
  
                              Systems	
  of	
  Record	
                              Systems	
  of	
  Engagement	
  

                                1	
                                        3	
  
                                                                                              BIG	
  DATA	
  
                                        Managed	
  via	
  
Structured	
                            tradi7onal	
  BI	
                          Internet	
  of	
  things	
  –	
  e.g.,	
  climate	
  
Informa7on	
                              and	
  Data	
                            data,	
  transac7on	
  records,	
  phone	
  
i.e.,	
  “data”	
                       Warehousing	
                                    GPS	
  data	
  –	
  intelligent,	
  
                                                                                   interconnected,	
  and	
  everywhere	
  


                                                                             Volume,	
  Velocity,	
  Variety,	
  Complexity	
  
                                         2	
                                      2.5	
  quin7llion	
  bytes/day	
  
Unstructured	
                           Currently	
                       4	
  
Informa7on	
                            unmanaged	
                                     BIG	
  CONTENT	
  
i.e.,	
  “content”	
  
                                                                                   Social,	
  images,	
  audio,	
  video,	
  text,	
  
                                        Managed	
  in	
                              office	
  apps,	
  web	
  traffic,	
  print	
  
                                        ECM	
  &	
  ERM	
                             streams,	
  email,	
  documents	
  
                                          systems	
  



Original	
  concept	
  –	
  Freeform	
  Dynamics	
  
Considered	
  overall,	
  to	
  what	
  degree	
  does	
  your	
  
                 organiza7on	
  exploit	
  its	
  informa7on	
  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	
  
The	
  New	
  Normal	
  
       •  Volume:	
  Enterprises	
  are	
  awash	
  with	
  ever-­‐growing	
  data	
  of	
  all	
  types,	
  easily	
  
          amassing	
  terabytes—even	
  petabytes—of	
  informa7on.	
  
                   –  Turn	
  12	
  terabytes	
  of	
  Tweets	
  created	
  daily	
  into	
  improved	
  product	
  sen7ment	
  analysis	
  
                   –  Convert	
  350	
  billion	
  meter	
  readings	
  per	
  annum	
  to	
  bener	
  predict	
  power	
  consump7on	
  
       •  Velocity:	
  Some7mes	
  2	
  minutes	
  is	
  too	
  late.	
  For	
  7me-­‐sensi7ve	
  processes	
  
          such	
  as	
  catching	
  fraud,	
  big	
  data	
  must	
  be	
  used	
  as	
  it	
  streams	
  into	
  your	
  
          enterprise	
  in	
  order	
  to	
  maximize	
  its	
  value.	
  
                   –  Scru7nize	
  5	
  million	
  trade	
  events	
  per	
  day	
  to	
  iden7fy	
  poten7al	
  fraud	
  
                   –  Analyze	
  500	
  million	
  call	
  detail	
  records	
  per	
  day	
  in	
  real-­‐7me	
  to	
  predict	
  customer	
  churn	
  
                      faster	
  
       •  Variety:	
  Big	
  data	
  is	
  any	
  type	
  of	
  data	
  -­‐	
  structured	
  and	
  unstructured	
  data	
  
          such	
  as	
  text,	
  sensor	
  data,	
  audio,	
  video,	
  click	
  streams,	
  log	
  files	
  and	
  more.	
  
          New	
  insights	
  are	
  found	
  when	
  analyzing	
  these	
  data	
  types	
  together.	
  
                   –  Use	
  100’s	
  of	
  live	
  video	
  feeds	
  from	
  surveillance	
  cameras	
  to	
  monitor	
  points	
  of	
  interest	
  
                   –  Take	
  advantage	
  of	
  the	
  80%	
  data	
  growth	
  in	
  images,	
  video	
  and	
  documents	
  to	
  improve	
  
                      customer	
  sa7sfac7on	
  

Source	
  =	
  IBM	
  
The	
  New	
  Normal	
  
      •  The	
  vast	
  majority	
  of	
  the	
  world’s	
  informa7on	
  is	
  
         unstructured.	
  
      •  Unstructured	
  informa7on	
  growing	
  15X	
  faster	
  
         than	
  structured.	
  
      •  Raw	
  compu7ng	
  power	
  growing	
  so	
  fast	
  that	
  an	
  
         off-­‐the-­‐shelf	
  box	
  approaching	
  the	
  compu7ng	
  
         power	
  of	
  a	
  super	
  computer	
  5	
  years	
  ago.	
  
      •  “Democra7za7on”	
  of	
  informa7on	
  access.	
  

Source	
  =	
  Understanding	
  Big	
  Data:	
  	
  Analy5cs	
  for	
  Enterprise	
  Class	
  Hadoop	
  and	
  Streamng	
  Data	
  
Irra7onal	
  thinking	
  
•  Get	
  rid	
  of	
  as	
  much	
  as	
     •  Save	
  everything	
  that	
  you	
  
   you	
  can:	
                                 can:	
  
     –  Li7ga7on	
  risk	
                       –  Might	
  need	
  it	
  “someday”	
  
     –  Compliance	
  risk	
                     –  Poten7al	
  aggregated	
  value	
  
     –  Storage	
  cost	
                        –  Disposi7on	
  uncertainty	
  
     	
                                          	
  
High	
  Value/Byte 	
  	
                     Low	
  Value/Byte	
  
Welcome	
  to	
  the	
  Era	
  of	
  Extreme	
  Informa7on	
  
5	
  Things	
  to	
  
Remember	
  About	
  
Extreme	
  
Informa7on	
  


                        AIIM.org/research	
  
#1:	
  Most	
  organiza7ons	
  do	
  not	
  have	
  
the	
  basics	
  in	
  place.	
  
•  61%	
  report	
  “content	
  chaos”	
  re	
  unstructured	
  informa7on.	
  
•  80%	
  have	
  no	
  extended	
  search	
  across	
  mul7ple	
  repositories.	
  
•  For	
  70%,	
  harder	
  to	
  find	
  your	
  own	
  stuff	
  than	
  stuff	
  on	
  the	
  web.	
  
#2:	
  No	
  one	
  except	
  
“the	
  industry”	
  
cares	
  about	
  
“structured”	
  vs.	
  
“unstructured.”	
  

 61%	
  would	
  find	
  it	
  “very	
  useful”	
  to	
  link	
  structured	
  and	
  
 unstructured	
  datasets.	
  
#3:	
  Manual	
  records	
  
management	
  is	
  dead.	
  
•  66%	
  have	
  an	
  informa7on	
  
     management	
  strategy,	
  but	
  
     only	
  22	
  percent	
  use	
  it.	
  
  •  79%	
  have	
  an	
  informa7on	
  
     reten7on	
  policy,	
  but	
  only	
  32	
  
     percent	
  enforce	
  it.	
  	
  
  •  58%	
  say	
  that	
  a	
  single	
  
     enterprise	
  records	
  
     management	
  model	
  
     underlying	
  all	
  content	
  
     systems	
  is	
  their	
  goal,	
  yet	
  
     only	
  9%	
  have	
  achieved	
  this.	
  


Source:	
  AIIM,	
  Process	
  Revolu7on:	
  Moving	
  Your	
  Business	
  
from	
  Paper	
  to	
  PC	
  to	
  Tablet	
  
#4:	
  The	
  future	
  is	
  in	
  
metadata.	
  
•  “The	
  solu7on	
  to	
  the	
  
   over	
  abundance	
  of	
  
   informa7on	
  is	
  more	
  
   informa7on.”	
  
    –  David	
  Weinberger	
  


•  “Data	
  that	
  is	
  seman7c	
  
   means	
  exactly	
  the	
  same	
  
   thing	
  to	
  any	
  system	
  or	
  
   person	
  who	
  uses	
  it.”	
  
    –  David	
  Siegel	
  
The	
  New	
  Normal	
  
•  The	
  standardiza7on	
  of	
  data	
  sets	
  across	
  industries,	
  the	
  
   separa7on	
  of	
  data	
  from	
  its	
  descrip7on,	
  and	
  the	
  exposure	
  of	
  
   this	
  informa7on	
  in	
  the	
  cloud	
  create	
  enormous	
  
   opportuni7es.	
  
•  We	
  can	
  now	
  analyze	
  problems	
  that	
  were	
  previously	
  
   undiges7ble	
  do	
  to	
  the	
  sheer	
  scale	
  of	
  compu7ng	
  power	
  
   required	
  to	
  address	
  them.	
  
     –  The	
  cloud,	
  HADOOP,	
  and	
  MapReduce	
  driving	
  division	
  of	
  vast	
  
        data	
  into	
  small	
  pieces	
  and	
  parsing	
  compu7ng	
  across	
  large	
  
        numbers	
  of	
  computers.	
  
•  We	
  can	
  now	
  solve	
  the	
  metadata	
  problem	
  (i.e.,	
  there	
  is	
  
   none!)	
  for	
  vast	
  landfills	
  of	
  unstructured	
  informa7on	
  
     –  We	
  can	
  now	
  use	
  seman7c	
  technology	
  to	
  apply	
  metadata	
  where	
  
        it	
  didn’t	
  previously	
  exist.	
  	
  
For	
  example…	
  
Individual	
  Paper	
  records	
                                                                A	
  Short	
  History	
  
•  Copied	
  and	
  aggregated	
  paper	
                                                       of	
  Financial	
  
•  Manual	
  compliance	
  and	
  “reading	
  rooms”	
                                          Repor7ng…	
  
        Individual	
  Computerized	
  records	
  
        •  Aggregated	
  computerized	
  records	
  
        •  Spot	
  audits	
  and	
  online	
  viewing	
  via	
  EDGAR	
  

                  Separa7on	
  of	
  data	
  from	
  viewing	
  
                  •  XBRL	
  standards	
  –	
  values,	
  tags,	
  dic7onaries	
  
                  •  Internal	
  process	
  standardiza7on	
  

                            Industry	
  and	
  regulatory	
  standardiza7on	
  
                            •  Adop7on	
  as	
  GAAP	
  
                            •  Mandated	
  by	
  110	
  countries	
  

                                      Standardized	
  data	
  moves	
  to	
  the	
  cloud	
  
                                      •  Automated	
  compliance	
  and	
  availability	
  
                                      •  Big	
  data	
  analy7c	
  opportuni7es	
  
Source	
  =	
  Pull:	
  The	
  Power	
  of	
  the	
  Seman7c	
  Web	
  
Mining	
  social	
  
 streams…	
  
 for	
  predic7ons	
  
 about	
  the	
  next	
  
 hit…	
  




nextbigsound.com	
  
Mining	
  social	
  streams…for	
  the	
  best	
  food	
  
                                                    Dish7p.com	
  
Mining	
  social	
  streams…for	
  drug	
  info	
  
                                                      Treato.com	
  
Using	
  text	
  analy7cs	
  to	
  mo7vate	
  voters	
  
Big	
  Data	
  Process	
  Applica7ons	
  
       •  Financial	
  Services	
                                 •  U7li7es	
  
                   –  Fraud	
  detec7on	
                              –  Weather	
  analysis	
  
                   –  360°	
  View	
  of	
  the	
  Customer	
          –  Smart	
  grid	
  management	
  
       •  Transporta7on	
                                         •  Intelligence	
  
                   –  Logis7cs	
  op7miza7on	
                         –  System	
  Log	
  Analysis	
  
                   –  Traffic	
  conges7on	
                             –  Cybersecurity	
  
       •  Health	
  &	
  Life	
  Sciences	
                       •  Retail	
  
                   –  Epidemic	
  early	
  warning	
                   –  360°	
  View	
  of	
  the	
  Customer	
  
                   –  ICU	
  monitoring	
                              –  Real-­‐7me	
  promo7ons	
  
       •  Telecommunica7ons	
                                     •  Law	
  Enforcement	
  
                   –  Geomapping	
  /	
  marke7ng	
                    –  Mul7modal	
  surveillance	
  
                   –  Network	
  monitoring	
                          –  Cyber	
  security	
  detec7on	
  


Source	
  =	
  IBM	
  
The	
  combina7on	
              This	
  revolu7on	
  
of	
  seman7cs	
  and	
          will	
  once	
  and	
  for	
  
accessibility	
  of	
            all	
  require	
  the	
  
data	
  in	
  the	
  cloud	
     elimina7on	
  of	
  
is	
  revolu7onary.	
            paper	
  and	
  
Across	
  industries	
           dictate	
  the	
  
                                 management	
  of	
  
Across	
                         unstructured	
  
geography	
                      informa7on	
  
                                 assets.	
  
#5:	
  We	
  need	
  T-­‐Shaped	
  people	
  to	
  
address	
  this	
  “extreme	
  
informa7on”	
  opportunity.	
  




       AIIM.org/Cer7fica7on	
  
The	
  emerging	
  informa7on	
  professional	
  

•  The	
  vast	
  majority	
  of	
  organiza5ons	
  see	
  the	
  need	
  to	
  manage	
  
   informa5on	
  as	
  an	
  enterprise	
  resource	
  rather	
  than	
  in	
  separate	
  
   "silos,"	
  departments	
  or	
  systems,	
  but	
  they	
  don't	
  know	
  how	
  to	
  
   begin	
  to	
  address	
  the	
  challenge,	
  as	
  it	
  is	
  so	
  large...	
  
•  Professional	
  roles	
  focused	
  on	
  informa5on	
  management	
  will	
  be	
  
   different	
  to	
  that	
  of	
  established	
  IT	
  roles.	
  	
  
•  An	
  "informa5on	
  professional"	
  will	
  not	
  be	
  one	
  type	
  of	
  role	
  or	
  
   skill	
  set,	
  but	
  will	
  in	
  fact	
  have	
  a	
  number	
  of	
  specializa5ons.	
  
     –  Deb	
  Logan	
  and	
  Regina	
  Casonata,	
  Gartner	
  
Who	
  are	
  these	
  people?	
  
                                                                                        IT	
  Legal	
  professional	
  
                                         Risk/Liability	
  Focus	
                        Records	
  Manager	
  
                                                                                           Digital	
  Archivist	
  

                                                                                      Business	
  Process	
  Owners	
  
           Professionals	
  
           Informa7on	
  


                                                 Value	
  Focus	
                          Business	
  Analyst	
  
                                                                                        Knowledge	
  Manager	
  
                                                                                     Informa7on/Data	
  Scien7st	
  

                                                                                     Ent	
  Informa7on	
  Manager	
  
                                          Governance	
  Focus	
  
                                                                                         Info/Data	
  Stewards	
  
                                                                                     Ent	
  Informa7on	
  Architect	
  

                                                 Social	
  Focus	
                      Informa7on	
  Curators	
  
                                                                                       Community	
  Managers	
  

Most	
  roles	
  from	
  Deb	
  Logan	
  and	
  Regina	
  Casonata,	
  Gartner	
  
We	
  need	
  T-­‐Shaped	
  Professionals	
  
               BROAD	
                                 DEEP	
  




 AIIM.org/cer7fica7on	
                         AIIM.org/training	
  

White	
  paper	
  here	
  –	
  	
  
hnp://pages2.aiim.org/CIPWebPage_InfoProWP.html	
  
	
  
Free	
  prac*ce	
  exam/assessment	
  -­‐-­‐	
  	
  
hnp://www.AIIM.org/CIP-­‐prac7ce-­‐exam	
  

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Are You Ready for the Era of Big Data and Extreme Information Management?

  • 1. The  New  Normal:  Get  Ready   for  the  Era  of  Extreme   Informa7on  Management   John  Mancini   President,  AIIM   @jmancini77   DigitalLandfill.org  
  • 2. Giving  Credit  Where  Credit  is  Due…     I  didn’t  make  up  the  term  “Extreme  Informa7on   Management”     I  first  heard  it  used  by  Gartner.     But  I  like  it  a  lot.  
  • 3. Big  Data  is  not  just  “more  data.”    -­‐-­‐Thornton  May  
  • 4.
  • 5.
  • 6.
  • 8. We  are  reaching  the  2nd  half  of   “Moore’s  Chessboard,”  drama7cally   changing  what  informa7on  means  to   our  organiza7ons  and  how  it  must  be   managed.  
  • 10. 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   interac7on   managed   Best  known   Digital   IBM   Microso`   Google   Facebook   company   Equipment   Social   Content   Image   Document   Content   Microfilm   Business   mgmt  focus   Mgmt   Mgmt   Mgmt   Systems  
  • 11. Considera*on   Systems  of  Record   Systems  of  Engagement   Focus   Transac7ons   Interac7ons   Governance   Command  &  Control   Collabora7on   Core  Elements   Facts  &  Commitments   Ideas  &  Nuances   Value   Single  Source  of  Truth   Discovery  &  Dialog   Standard   Accurate  &  Complete   Immediate  &  Accessible   Content   Authored   Communal   Primary  Record  Type   Documents   Conversa7ons   Searchability   Easy   Hard   Usability   User  is  trained   User  “knows”     Accessibility   Regulated  &  Contained   Ad  Hoc  &  Open   Reten7on   Permanent   Transient   Policy  Focus   Security  (Protect  Assets)   Privacy  (Protect  Users)  
  • 12. 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  
  • 13. Our  5-­‐Point   Manifesto   1.  Commit  to  the  cloud.   2.  Mobilize  everything.   3.  Make  the  business   social.   4.  Digi7ze  anything  that   moves.   5.  Prepare  for   informa7on   management  on  a   massive  scale.  
  • 14. According  to  IDC  –  Between   now  and  2020…   •  44X  growth  in   informa7on   •  75X  growth  in   informa7on  “containers”   BUT…   •  1.4X  growth  in  IT   professionals  
  • 15. The  drama7c  changes  in  the   consumer  space  provide  a  hint  as  to   what  is  coming…  
  • 23. Prepare  for  extreme  informa7on  management.  
  • 24. We  are  moving  from  the  Systems  of   Record  era  in  which  our  focus  was  on   high-­‐value  informa7on  assets  to  the   Systems  of  Engagement  era  in  which   volume  and  complexity  and  velocity   are  increasingly  drama7cally.  
  • 25. Value  of  Informa7on  per  Unit  to  Organiza7on   HIGH  DENSITY   Systems  of  Record   1   Managed  via   Structured   tradi7onal  BI   Informa7on   and  Data   i.e.,  “data”   Warehousing   Original  concept  –  Freeform  Dynamics  
  • 26. Value  of  Informa7on  per  Unit  to  Organiza7on   HIGH  Value/Byte   Systems  of  Record   1   Managed  via   Structured   tradi7onal  BI   Informa7on   and  Data   i.e.,  “data”   Warehousing   2   Unstructured   Currently   Informa7on   unmanaged   i.e.,  “content”   Managed  in   ECM  &  ERM   systems   Original  concept  –  Freeform  Dynamics  
  • 27. Value  of  Informa7on  per  Unit  to  Organiza7on   HIGH  Value/Byte   LOW  Value/Byte   Systems  of  Record   Systems  of  Engagement   1   3   BIG  DATA   Managed  via   Structured   tradi7onal  BI   Internet  of  things  –  e.g.,  climate   Informa7on   and  Data   data,  transac7on  records,  phone   i.e.,  “data”   Warehousing   GPS  data  –  intelligent,   interconnected,  and  everywhere   Volume,  Velocity,  Variety,  Complexity   2   2.5  quin7llion  bytes/day   Unstructured   Currently   4   Informa7on   unmanaged   BIG  CONTENT   i.e.,  “content”   Social,  images,  audio,  video,  text,   Managed  in   office  apps,  web  traffic,  print   ECM  &  ERM   streams,  email,  documents   systems   Original  concept  –  Freeform  Dynamics  
  • 28. Considered  overall,  to  what  degree  does  your   organiza7on  exploit  its  informa7on  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  
  • 29. The  New  Normal   •  Volume:  Enterprises  are  awash  with  ever-­‐growing  data  of  all  types,  easily   amassing  terabytes—even  petabytes—of  informa7on.   –  Turn  12  terabytes  of  Tweets  created  daily  into  improved  product  sen7ment  analysis   –  Convert  350  billion  meter  readings  per  annum  to  bener  predict  power  consump7on   •  Velocity:  Some7mes  2  minutes  is  too  late.  For  7me-­‐sensi7ve  processes   such  as  catching  fraud,  big  data  must  be  used  as  it  streams  into  your   enterprise  in  order  to  maximize  its  value.   –  Scru7nize  5  million  trade  events  per  day  to  iden7fy  poten7al  fraud   –  Analyze  500  million  call  detail  records  per  day  in  real-­‐7me  to  predict  customer  churn   faster   •  Variety:  Big  data  is  any  type  of  data  -­‐  structured  and  unstructured  data   such  as  text,  sensor  data,  audio,  video,  click  streams,  log  files  and  more.   New  insights  are  found  when  analyzing  these  data  types  together.   –  Use  100’s  of  live  video  feeds  from  surveillance  cameras  to  monitor  points  of  interest   –  Take  advantage  of  the  80%  data  growth  in  images,  video  and  documents  to  improve   customer  sa7sfac7on   Source  =  IBM  
  • 30. The  New  Normal   •  The  vast  majority  of  the  world’s  informa7on  is   unstructured.   •  Unstructured  informa7on  growing  15X  faster   than  structured.   •  Raw  compu7ng  power  growing  so  fast  that  an   off-­‐the-­‐shelf  box  approaching  the  compu7ng   power  of  a  super  computer  5  years  ago.   •  “Democra7za7on”  of  informa7on  access.   Source  =  Understanding  Big  Data:    Analy5cs  for  Enterprise  Class  Hadoop  and  Streamng  Data  
  • 31. Irra7onal  thinking   •  Get  rid  of  as  much  as   •  Save  everything  that  you   you  can:   can:   –  Li7ga7on  risk   –  Might  need  it  “someday”   –  Compliance  risk   –  Poten7al  aggregated  value   –  Storage  cost   –  Disposi7on  uncertainty       High  Value/Byte     Low  Value/Byte  
  • 32. Welcome  to  the  Era  of  Extreme  Informa7on  
  • 33. 5  Things  to   Remember  About   Extreme   Informa7on   AIIM.org/research  
  • 34. #1:  Most  organiza7ons  do  not  have   the  basics  in  place.  
  • 35. •  61%  report  “content  chaos”  re  unstructured  informa7on.   •  80%  have  no  extended  search  across  mul7ple  repositories.   •  For  70%,  harder  to  find  your  own  stuff  than  stuff  on  the  web.  
  • 36. #2:  No  one  except   “the  industry”   cares  about   “structured”  vs.   “unstructured.”   61%  would  find  it  “very  useful”  to  link  structured  and   unstructured  datasets.  
  • 37. #3:  Manual  records   management  is  dead.  
  • 38. •  66%  have  an  informa7on   management  strategy,  but   only  22  percent  use  it.   •  79%  have  an  informa7on   reten7on  policy,  but  only  32   percent  enforce  it.     •  58%  say  that  a  single   enterprise  records   management  model   underlying  all  content   systems  is  their  goal,  yet   only  9%  have  achieved  this.   Source:  AIIM,  Process  Revolu7on:  Moving  Your  Business   from  Paper  to  PC  to  Tablet  
  • 39. #4:  The  future  is  in   metadata.  
  • 40. •  “The  solu7on  to  the   over  abundance  of   informa7on  is  more   informa7on.”   –  David  Weinberger   •  “Data  that  is  seman7c   means  exactly  the  same   thing  to  any  system  or   person  who  uses  it.”   –  David  Siegel  
  • 41. The  New  Normal   •  The  standardiza7on  of  data  sets  across  industries,  the   separa7on  of  data  from  its  descrip7on,  and  the  exposure  of   this  informa7on  in  the  cloud  create  enormous   opportuni7es.   •  We  can  now  analyze  problems  that  were  previously   undiges7ble  do  to  the  sheer  scale  of  compu7ng  power   required  to  address  them.   –  The  cloud,  HADOOP,  and  MapReduce  driving  division  of  vast   data  into  small  pieces  and  parsing  compu7ng  across  large   numbers  of  computers.   •  We  can  now  solve  the  metadata  problem  (i.e.,  there  is   none!)  for  vast  landfills  of  unstructured  informa7on   –  We  can  now  use  seman7c  technology  to  apply  metadata  where   it  didn’t  previously  exist.    
  • 43. Individual  Paper  records   A  Short  History   •  Copied  and  aggregated  paper   of  Financial   •  Manual  compliance  and  “reading  rooms”   Repor7ng…   Individual  Computerized  records   •  Aggregated  computerized  records   •  Spot  audits  and  online  viewing  via  EDGAR   Separa7on  of  data  from  viewing   •  XBRL  standards  –  values,  tags,  dic7onaries   •  Internal  process  standardiza7on   Industry  and  regulatory  standardiza7on   •  Adop7on  as  GAAP   •  Mandated  by  110  countries   Standardized  data  moves  to  the  cloud   •  Automated  compliance  and  availability   •  Big  data  analy7c  opportuni7es   Source  =  Pull:  The  Power  of  the  Seman7c  Web  
  • 44. Mining  social   streams…   for  predic7ons   about  the  next   hit…   nextbigsound.com  
  • 45. Mining  social  streams…for  the  best  food   Dish7p.com  
  • 46. Mining  social  streams…for  drug  info   Treato.com  
  • 47. Using  text  analy7cs  to  mo7vate  voters  
  • 48. Big  Data  Process  Applica7ons   •  Financial  Services   •  U7li7es   –  Fraud  detec7on   –  Weather  analysis   –  360°  View  of  the  Customer   –  Smart  grid  management   •  Transporta7on   •  Intelligence   –  Logis7cs  op7miza7on   –  System  Log  Analysis   –  Traffic  conges7on   –  Cybersecurity   •  Health  &  Life  Sciences   •  Retail   –  Epidemic  early  warning   –  360°  View  of  the  Customer   –  ICU  monitoring   –  Real-­‐7me  promo7ons   •  Telecommunica7ons   •  Law  Enforcement   –  Geomapping  /  marke7ng   –  Mul7modal  surveillance   –  Network  monitoring   –  Cyber  security  detec7on   Source  =  IBM  
  • 49. The  combina7on   This  revolu7on   of  seman7cs  and   will  once  and  for   accessibility  of   all  require  the   data  in  the  cloud   elimina7on  of   is  revolu7onary.   paper  and   Across  industries   dictate  the   management  of   Across   unstructured   geography   informa7on   assets.  
  • 50. #5:  We  need  T-­‐Shaped  people  to   address  this  “extreme   informa7on”  opportunity.   AIIM.org/Cer7fica7on  
  • 51. The  emerging  informa7on  professional   •  The  vast  majority  of  organiza5ons  see  the  need  to  manage   informa5on  as  an  enterprise  resource  rather  than  in  separate   "silos,"  departments  or  systems,  but  they  don't  know  how  to   begin  to  address  the  challenge,  as  it  is  so  large...   •  Professional  roles  focused  on  informa5on  management  will  be   different  to  that  of  established  IT  roles.     •  An  "informa5on  professional"  will  not  be  one  type  of  role  or   skill  set,  but  will  in  fact  have  a  number  of  specializa5ons.   –  Deb  Logan  and  Regina  Casonata,  Gartner  
  • 52. Who  are  these  people?   IT  Legal  professional   Risk/Liability  Focus   Records  Manager   Digital  Archivist   Business  Process  Owners   Professionals   Informa7on   Value  Focus   Business  Analyst   Knowledge  Manager   Informa7on/Data  Scien7st   Ent  Informa7on  Manager   Governance  Focus   Info/Data  Stewards   Ent  Informa7on  Architect   Social  Focus   Informa7on  Curators   Community  Managers   Most  roles  from  Deb  Logan  and  Regina  Casonata,  Gartner  
  • 53.
  • 54. We  need  T-­‐Shaped  Professionals   BROAD   DEEP   AIIM.org/cer7fica7on   AIIM.org/training   White  paper  here  –     hnp://pages2.aiim.org/CIPWebPage_InfoProWP.html     Free  prac*ce  exam/assessment  -­‐-­‐     hnp://www.AIIM.org/CIP-­‐prac7ce-­‐exam