BI	  Market	  Trends	  for	  2012	  Our	  top	  ten	  predic8ons	  for	  the	  year	  ahead	  
1.	  Increased	  Interest	  In	  Collabora8ve/Social	  BI	  Business	  users	  have	  established	  new	  ways	  of       ...
2.	  Demand	  for	  BI	  Without	  Boundaries	  Knowledge	   workers	   have	   driven	   more	   than        	  70%	  of	...
3.	  Enterprises	  Embrace	  a	  Broader	  PorHolio	  of	  BI	  tools	  Less	   than	   30%	   of	   poten8al	   users	   ...
4.	  Interac8ve	  Visualisa8on	  Is	  Fundamental	  Data	   visualisa8on	   is	   key	   to	   helping	   users	   togener...
5.	  Data	  Discovery	  Comes	  of	  Age	  There	   are	   significantly	   more	   visual	   querytools	   now	   availabl...
6.	  Real	  Discoveries	  Come	  from	  ‘Freeform	  Search’	  Today’s	   knowledge	   workers	   have	   grown     	  accu...
7.	  Overcoming	  Data	  Silos	  Big	   data	   has	   frequently	   resulted	   in	   ‘data	  sprawl’	   across	   differe...
8.	  Real-­‐8me	  Means	  In-­‐Memory	  Becomes	  Mainstream	  Demand	   for	   faster,	   real-­‐8me	   results	   hasmea...
9.	  To	  Big	  Data	  and	  Beyond!	  “Big	  Data”	  –	  it’s	  not	  just	  the	  old	  data	  stores,	  but	  the	  new...
10.	  Cloud-­‐based	  BI?	  The	  Conversa8on	  Con8nues	  The	  debate	  about	  cloud-­‐based	  BI	  con8nues.	  	  On	 ...
It’s	  the	  BI	  freedom	  you’ve	  been	  wai8ng	  for                                                              	   ...
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Projections for BI in 2012 from the neutrinoBI team


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At this time of year (January 2012) a number of industry commentators pop their heads above the parapet to suggest what we’re likely to see happening in the market over the coming year. Not to be left out, I asked the neutrinobi team what they thought the market would look like over the next 18 months, and after some great debate, this is what we came up with:

Increased interest in collaborative/social BI
Demand for BI without boundaries
Enterprises embrace a wider portfolio of BI tools
Data Discovery comes of age
The real BI search is ‘Freeform’
Data integration - overcoming the silos
Interactive data visualisation becomes a fundamental requirement
Demand for real-time results means in-memory technology becomes mainstream
To big data...and beyond!
Cloud-based BI? The conversation continues

This paper explains each of these projections in a bit more detail, and throughout January, with help from Jon Woodward (CEO), Patrick Foody (CTO), and Andy Bailey (Pre-Sales Consultant), we’ll be looking at some of these concepts in a bit more detail in our blog:

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Projections for BI in 2012 from the neutrinoBI team

  1. 1. BI  Market  Trends  for  2012  Our  top  ten  predic8ons  for  the  year  ahead  
  2. 2. 1.  Increased  Interest  In  Collabora8ve/Social  BI  Business  users  have  established  new  ways  of  sharing   and   collabora8ng   using   LinkedIn,  Facebook,   Wikipedia,   Web   2.0   and   other  social  plaHorms.  Collabora8ve  BI  tools  that  take  advantage  of  this   behaviour   and   make   it   possible   for  business  teams  to  search,  rate,  comment  on,  and   request   enhancements   to   content   will  become   more   and   more   desirable   in  suppor8ng   cross-­‐func8onal,   dispersed   and  flash-­‐teams.     These   tools   can   enhance  efficiency  and  increase  the  speed  of  decision-­‐making.  2012   will   see   the   first   return   on  value  for  early  adopters  of  BI  tools  that   support   knowledge   worker  collabora=on.       January  11,  2012              |   Slide  1    
  3. 3. 2.  Demand  for  BI  Without  Boundaries  Knowledge   workers   have   driven   more   than  70%  of  the  economic  growth  of  the  US  over    the  last  three  decades.  Over  85%  of  new  jobs  created   in   the   last   decade   required   complex    informa8on  analysis  skills  (McKinsey  Global).  Today’s   knowledge   workers   operate   at   all    levels  in  highly  distributed,  fast-­‐paced,  highly  compe88ve  environments  but  using  systemsconceived  to  answer  yesterday’s  ques8ons.      There’s   increased   demand   for   accessible,    agile   BI   for   use   within   the   office,   and   when  mobile   (on   iPads,   smartphones   and   smart  devices).  With  40%  of  today’s  BI  budget  now  controlled  by  business  unit  this  is  becoming  a  reality.  Lines   of   business   within   the  organisa=on   will   con=nue   to   drive  the  wider  adop=on  of  BI.     January  11,  2012              |   Slide  2    
  4. 4. 3.  Enterprises  Embrace  a  Broader  PorHolio  of  BI  tools  Less   than   30%   of   poten8al   users   haveadopted   BI   today   because   they’re   too      complex,  slow  and  inaccurate  (Gartner).  Organisa8ons   are   benefiang   from   a   new    range   of   technologies   driven   from   the  consumer-­‐space.   According   to   James    Richardson   of   Gartner   these   include:  interac8ve   visualisa8on,   integrated   search,    and  in-­‐memory  processing.    Individual   lines   of   business   are   by-­‐passing   IT    to   adopt   these   “BI   tools   with   the  func8onality  to  get  things  done”  according  to  Boris  Evelson  of  Forrester.  Organisa=ons   are   increasingly  taking   a   porAolio   approach   to   BI  tools  to  support  pervasive  BI.       January  11,  2012              |   Slide  3    
  5. 5. 4.  Interac8ve  Visualisa8on  Is  Fundamental  Data   visualisa8on   is   key   to   helping   users   togenerate   graphically   interes8ng   reports,      provide   effec8ve   communica8ons   and  enable  them  to  spot  trends  and  issues.    Interac8ve   data   visualisa8on   goes   a   stepfurther.   It   allows   users   to   ask-­‐ques8ons   of      what   they   see,   dig   deeper,   change   what  they’re   viewing   and   the   format   they’re    viewing   it   in,   layer   charts   on   top   of   each  other  and  see  a  pipeline  of  data  in  real-­‐8me.      Increased  awareness  and  business  acceptance  of  visual  query  tools  in  2012   will   make   data   explora=on  and   discovery   a   much   bigger   part  of  any  organisa=on’s  BI  prac=ces.       January  11,  2012              |   Slide  4  
  6. 6. 5.  Data  Discovery  Comes  of  Age  There   are   significantly   more   visual   querytools   now   available   on   the   market   to   sa8sfy      demand  for  self-­‐service  BI.  But  many  of  these  s8ll   ‘constrain’   the   user   to   ask   ques8ons    predefined  by  the  interface  in  terms  of  their  ability  to  drill-­‐down  in  a  faceted  search.    True   Data   discovery   tools   allow   businessusers   to   ‘ask   any   ques8on’,   and   explore      across   mul8ple   data   sources   without   having  to  pre-­‐determine  the  ‘right  ques8on’.      In   2012,   data   query   and   analysis  will  begin  to  make  the  move  from  predictable  search  and  analysis  to  a   more   rapid   and   organic   data  discovery  model.       January  11,  2012              |   Slide  5  
  7. 7. 6.  Real  Discoveries  Come  from  ‘Freeform  Search’  Today’s   knowledge   workers   have   grown  accustomed  to  using  internet  search  engines    to  find  the  informa8on  they  need.      Yet   when   it   comes   to   organisa8onal   business  intelligence   they’re   either   forced   to   work    through  IT  to  get  a  report  run  off,  or  they  are  constrained   by   a   faceted   drill-­‐down   searchthat   has   been   pre-­‐defined   and   pre-­‐    programmed  for  them.    In   2012,   the   industry   will   become  aware   of   a   new   approach   to  search  –  one  that  is  truly  similar  to  an   internet   search   on   structured  data.    We  call  it  ‘freeform’.       January  11,  2012              |   Slide  6    
  8. 8. 7.  Overcoming  Data  Silos  Big   data   has   frequently   resulted   in   ‘data  sprawl’   across   different   repositories,   systems,  plaHorms   and   geographies.     Combining   this  data  without  aggrega8ng  it  in  some  monolithic  system  can  be  challenging  and  frustra8ng.    Data   discovery   can   provide   integrated   data  search   across   a   myriad   of   sources,   wherever  they   reside.   It   can   also   be   used   to   support  master-­‐data-­‐management   (MDM)   projects   by  loca8ng   and   capturing   metadata   across   data  sources   and   uncovering   rela8onships   between  data  elements.    In  the  next  few  years  data  discovery  tools  will  gain  further  popularity  as  a  means  of  data  integra=on.       January  11,  2012              |   Slide  7  
  9. 9. 8.  Real-­‐8me  Means  In-­‐Memory  Becomes  Mainstream  Demand   for   faster,   real-­‐8me   results   hasmeant   that   in-­‐memory   analy8cs   are   now      used   across   databases   and   other   analy8c  tools,   including   neutrinoBI.   In-­‐memory    search   is   no   longer   a   differen8ator   between  products.    Instead,   other   performance-­‐related   factorsincluding   implementa8on   speed,   8me      between   search   and   generate,   and   system  related   power/performance   will   become    more   important   in   terms   of   differen8a8on  between  BI  tools.  In-­‐memory   analy=cs   will   become  mainstream.   Other   performance-­‐related   features   will   differen=ate  BI  tools.     January  11,  2012              |   Slide  8    
  10. 10. 9.  To  Big  Data  and  Beyond!  “Big  Data”  –  it’s  not  just  the  old  data  stores,  but  the  new  streams  that  are  growing  all  the    8me,  at  a  rate  of  15PBs  per  day  according  to  IDC.    Big  data  means  that  there’s  more  data  to  store,  integrate,  search  and  analyze.    However,  big  data  shouldn’t  necessitate    Big  BI  –  large  monolithic  machines  and    Petascale  databases.    Enterprises  are  becoming  increasingly  savvy  in  their    approach  to  handling  Big  Data  for  BI.  We  believe  that  big  data  will  con=nue  to  drive  new  approaches  to  BI  in  2012.         January  11,  2012              |   Slide  9  
  11. 11. 10.  Cloud-­‐based  BI?  The  Conversa8on  Con8nues  The  debate  about  cloud-­‐based  BI  con8nues.    On  the  one  hand  it  would  appear  an  ideal  way  of  scaling  to  keep  pace  with  big  data.    On  the  other,  releasing  data  assets  and  conduc8ng  analysis  on  petabytes  of  data  outside  the  security  of  organisa8onal  boundaries  would  appear  to  be  an  ongoing  constraint.  Despite  increasing  hype  and  moun=ng  interest,  cloud-­‐based  BI  search  and  analy=cs  s=ll  has  a  long  road  ahead.         January  11,  2012              |   Slide  10    
  12. 12. It’s  the  BI  freedom  you’ve  been  wai8ng  for   Accelerate  your  discoveries   January  11,  2012              |   Slide  11