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1	
  
	
  
Best	
  Practices	
  Brief	
  
	
   	
  
	
   	
   	
  
Four	
  Pillars	
  of	
  Business	
  Analytics	
  	
  
Improve	
  customer	
  experience	
  and	
  analytic	
  capabilities	
  	
  
with	
  Actuate	
  BIRT	
  
Business	
  goals	
  for	
  applications	
  must	
  address	
  data,	
  people,	
  process	
  and	
  technology,	
  according	
  	
  
to	
  Gartner’s	
  Jamie	
  Popkin.	
  In	
  a	
  keynote	
  presentation	
  at	
  the	
  Gartner	
  Catalyst	
  Conference,	
  
Popkin	
  called	
  this	
  framework	
  the	
  Four	
  Pillars	
  of	
  Business	
  Analytics.	
  	
  
“Gartner	
  indicates	
  by	
  2015,	
  25%	
  of	
  analytic	
  capabilities	
  will	
  be	
  embedded	
  in	
  business	
  
applications	
  and	
  designing	
  data	
  visualizations	
  for	
  web	
  and	
  mobile	
  apps	
  will	
  become	
  	
  
a	
  major	
  growth	
  engine	
  for	
  the	
  worldwide	
  Business	
  Intelligence	
  and	
  Analytics	
  	
  
Software	
  Market.”	
  	
  
	
  –	
  Jamie	
  Popkin,	
  Managing	
  VP,	
  Gartner	
  
Transforming	
  analytic	
  data	
  into	
  usable	
  business	
  information	
  and	
  designing	
  compelling	
  data-­‐
driven	
  customer-­‐facing	
  applications	
  remains	
  both	
  an	
  art	
  and	
  a	
  science,	
  and	
  a	
  clear	
  path	
  to	
  
success	
  is	
  sometimes	
  hard	
  to	
  identify.	
  Inspired	
  by	
  Popkin’s	
  talk,	
  Actuate	
  believes	
  the	
  Four	
  Pillars	
  
framework,	
  shown	
  in	
  Figure	
  1:	
  Gartner’s	
  Four	
  Pillars	
  of	
  Business	
  Analytics,	
  can	
  help	
  application	
  
initiatives	
  succeed.	
  The	
  Four	
  Pillars	
  can	
  help	
  developers	
  and	
  IT	
  managers	
  ask	
  better	
  questions	
  –	
  
and	
  get	
  better	
  answers	
  –	
  when	
  they	
  develop	
  business	
  analytics	
  applications.	
  An	
  emerging	
  set	
  	
  
of	
  design	
  principles,	
  inspired	
  by	
  the	
  Four	
  Pillars,	
  provides	
  a	
  blueprint	
  for	
  delivering	
  apps	
  that	
  
inform,	
  connect,	
  and	
  motivate	
  end	
  users.	
  
This	
  best	
  practices	
  brief	
  describes	
  the	
  Four	
  Pillars	
  of	
  Business	
  Analytics	
  framework,	
  then	
  shows	
  
how	
  you	
  can	
  employ	
  the	
  Four	
  Pillars	
  to	
  understand	
  your	
  application	
  needs	
  and	
  design	
  and	
  build	
  
applications	
  that	
  inform,	
  connect	
  and	
  motivate	
  users.	
  The	
  brief	
  also	
  explains	
  why	
  Actuate’s	
  
BIRT	
  platform	
  is	
  ideal	
  for	
  high-­‐user,	
  high-­‐volume	
  analytic	
  applications.	
  	
  
	
  
	
   	
  
Best	
  Practices	
  Brief	
  
 
2	
  
	
  
Best	
  Practices	
  Brief	
  
Understanding	
  the	
  Four	
  Pillars	
  	
  
	
  
Figure	
  1:	
  Gartner’s	
  Four	
  Pillars	
  of	
  Business	
  Analytics	
  	
  
1. Information	
  management	
  foundation	
  (Data)	
  
The	
  Data	
  pillar	
  balances	
  governance	
  and	
  access	
  in	
  the	
  information-­‐driven	
  enterprise.	
  It	
  requires	
  
connecting	
  to	
  disparate	
  data	
  sources	
  –	
  regardless	
  of	
  their	
  type	
  and	
  location	
  –	
  to	
  build	
  a	
  virtual	
  
data	
  warehouse	
  that	
  is	
  easy	
  and	
  secure	
  to	
  consume	
  and	
  use.	
  	
  
2. Organization	
  (People)	
  
The	
  People	
  pillar	
  brings	
  IT	
  and	
  Business	
  communities	
  together	
  to	
  meet	
  shared	
  company	
  goals.	
  	
  
IT	
  people	
  require	
  a	
  visual,	
  programmatic	
  and	
  assembly	
  style	
  development	
  environment,	
  with	
  
deep	
  integration	
  APIs	
  for	
  embedding	
  processes.	
  Business	
  people	
  need	
  secure	
  and	
  personalized	
  
self-­‐service,	
  along	
  with	
  the	
  ability	
  to	
  embed	
  analytics	
  in	
  existing	
  applications	
  and	
  display	
  them	
  
anywhere	
  –	
  including	
  wearable	
  and	
  mobile	
  devices	
  –	
  to	
  boost	
  usage.	
  For	
  IT	
  people,	
  engaging	
  
business	
  groups	
  early	
  in	
  the	
  application	
  design	
  and	
  development	
  process	
  helps	
  to	
  drive	
  
conversations	
  forward.	
  	
  
	
   	
  
 
3	
  
	
  
Best	
  Practices	
  Brief	
  
3. Fact-­‐based	
  decision	
  making	
  (Process)	
  
The	
  Process	
  pillar	
  requires	
  having	
  the	
  right	
  information	
  at	
  the	
  right	
  time	
  to	
  make	
  better,	
  faster	
  
decisions.	
  Because	
  different	
  roles	
  make	
  different	
  types	
  of	
  decisions,	
  it’s	
  important	
  to	
  leverage	
  	
  
the	
  same	
  data	
  to	
  support	
  a	
  variety	
  of	
  processes.	
  For	
  example,	
  operational	
  and	
  executive	
  users	
  
require	
  dashboards;	
  customers	
  want	
  statements,	
  proposals	
  and	
  reports;	
  and	
  departments	
  need	
  
performance	
  scorecards.	
  All	
  of	
  these	
  outputs	
  should	
  be	
  built	
  with	
  reusable	
  components	
  and	
  
shared	
  across	
  groups	
  to	
  ensure	
  maximum	
  use.	
  
4. Appropriate	
  technology	
  platform	
  (Technology)	
  
The	
  Technology	
  pillar	
  encompasses	
  development	
  and	
  deployment,	
  with	
  systems	
  that	
  	
  
break	
  down	
  silos	
  of	
  capability.	
  Integrated,	
  open,	
  extensible	
  tools	
  support	
  growth,	
  so	
  Actuate	
  
embraces	
  standards-­‐based	
  content	
  development	
  environment	
  and	
  provides	
  a	
  flexible,	
  	
  
scalable	
  and	
  secure	
  automated	
  deployment	
  server	
  (BIRT	
  iHub).	
  This	
  combination	
  has	
  the	
  
flexibility	
  to	
  deliver	
  data	
  from	
  any	
  source	
  and	
  embed	
  it	
  in	
  any	
  application.	
  
Another	
  way	
  to	
  understand	
  the	
  Four	
  Pillars	
  is	
  through	
  the	
  Business	
  Analytics	
  Framework	
  shown	
  	
  
in	
  Figure	
  2.	
  In	
  this	
  arrangement,	
  the	
  Data	
  pillar	
  is	
  the	
  Information	
  foundation	
  of	
  the	
  framework,	
  	
  
and	
  the	
  People,	
  Process,	
  and	
  Platform	
  (Technology)	
  pillars	
  are	
  broken	
  out	
  by	
  their	
  specific	
  
needs	
  and	
  requirements.	
  It’s	
  important	
  to	
  note	
  in	
  Figure	
  2:	
  The	
  Business	
  Analytics	
  Framework	
  
the	
  “Business	
  Models,	
  Business	
  Strategy	
  and	
  Enterprise	
  Metrics”	
  spans	
  all	
  of	
  the	
  pillars,	
  	
  
as	
  does	
  system	
  performance.	
  	
  
	
  
	
  
Figure	
  2:	
  the	
  Business	
  Analytics	
  Framework	
  
 
4	
  
	
  
Best	
  Practices	
  Brief	
  
Addressing	
  Complexity	
  in	
  Customer	
  Facing	
  Applications	
  
Once	
  you	
  understand	
  your	
  application	
  needs	
  in	
  the	
  context	
  of	
  the	
  Four	
  Pillars,	
  look	
  at	
  each	
  
application	
  in	
  terms	
  of	
  users	
  and	
  data.	
  How	
  many	
  people	
  will	
  use	
  an	
  application,	
  and	
  how	
  	
  
much	
  personalized	
  data	
  each	
  user	
  will	
  require	
  from	
  the	
  app?	
  As	
  illustrated	
  in	
  Figure	
  3:	
  
Customer-­‐Facing	
  Applications	
  –	
  Complexity	
  Comparison,	
  applications	
  with	
  the	
  most	
  users	
  	
  
and	
  the	
  highest	
  volume	
  of	
  personalized	
  data	
  per	
  user	
  are	
  typically	
  the	
  most	
  complex,	
  and	
  the	
  
most	
  challenging	
  in	
  terms	
  of	
  design,	
  data	
  access,	
  management,	
  and	
  delivery.	
  These	
  applications	
  
require	
  a	
  secure,	
  scalable	
  platform	
  –	
  Actuate	
  BIRT	
  –	
  to	
  meet	
  unique	
  challenges:	
  
• Take	
  a	
  customer-­‐centric	
  view,	
  in	
  order	
  to	
  focus	
  on	
  adding	
  value	
  
• Manage	
  increased	
  complexity	
  as	
  customers	
  and	
  data	
  are	
  added.	
  These	
  apps	
  –	
  particularly	
  
those	
  used	
  by	
  financial	
  institutions’	
  customers	
  –	
  must	
  support	
  millions	
  of	
  users	
  who	
  aren’t	
  
consistently	
  tech-­‐savvy	
  and	
  who	
  have	
  unique	
  information	
  requirements	
  	
  
• Serve	
  enterprise	
  analytics	
  needs.	
  These	
  apps	
  must	
  move	
  beyond	
  departmental	
  scale	
  to	
  
support	
  massive	
  amounts	
  of	
  data	
  and	
  users	
  
	
  
Figure	
  3:	
  Customer-­‐Facing	
  Applications	
  –	
  Complexity	
  Comparison	
  
	
   	
  
 
5	
  
	
  
Best	
  Practices	
  Brief	
  
Applications	
  in	
  the	
  upper-­‐right	
  quadrant	
  –	
  those	
  with	
  large	
  numbers	
  of	
  users	
  and	
  high	
  volumes	
  
of	
  data	
  per	
  user	
  –	
  deliver	
  more	
  value	
  to	
  users	
  when	
  they	
  employ	
  analytics.	
  Analytics	
  is	
  the	
  
discipline	
  that	
  applies	
  logic	
  and	
  mathematics	
  to	
  data	
  to	
  provide	
  insights	
  that	
  help	
  people	
  make	
  
better	
  decisions.	
  (Indeed,	
  analytics	
  is	
  synonymous	
  with	
  “fact-­‐based	
  decision-­‐making”	
  found	
  in	
  
the	
  Process	
  pillar.)	
  	
  
Four	
  types	
  of	
  analytics	
  –	
  descriptive,	
  diagnostic,	
  predictive,	
  and	
  prescriptive	
  –	
  are	
  illustrated	
  	
  
in	
  Figure	
  4:	
  Four	
  Types	
  of	
  Analytics.	
  Each	
  type	
  of	
  analytics	
  starts	
  with	
  data	
  and	
  poses	
  a	
  question,	
  
and	
  each	
  requires	
  some	
  amount	
  of	
  human	
  input	
  to	
  arrive	
  at	
  a	
  decision.	
  In	
  the	
  case	
  of	
  decision	
  
automation	
  –	
  a	
  subset	
  of	
  prescriptive	
  analytics	
  –	
  specific	
  actions	
  can	
  be	
  taken	
  based	
  on	
  data	
  
without	
  human	
  input.	
  	
  
Each	
  of	
  the	
  four	
  types	
  of	
  analytics	
  has	
  a	
  place	
  in	
  an	
  information-­‐driven	
  enterprise	
  and	
  in	
  your	
  
analytics	
  strategy.	
  They	
  are	
  not	
  a	
  hierarchy;	
  prescriptive	
  analytics	
  are	
  not	
  better	
  than	
  predictive	
  
analytics,	
  for	
  example,	
  and	
  each	
  type	
  of	
  analytics	
  is	
  applicable	
  to	
  specific	
  use	
  cases.	
  	
  
	
  
Figure	
  4:	
  Four	
  Types	
  of	
  Analytics	
  
The	
  ways	
  users	
  consume	
  and	
  interact	
  with	
  analytics	
  vary.	
  Embedded	
  analytics,	
  dashboards	
  	
  
and	
  reports	
  are	
  common	
  methods	
  for	
  presenting	
  analytics	
  to	
  users.	
  Capabilities	
  such	
  as	
  queries,	
  
data	
  visualizations	
  and	
  packaged	
  analytic	
  solutions	
  for	
  specific	
  business	
  problems	
  are	
  often	
  
built	
  into	
  analytic	
  applications.	
  
	
   	
  
 
6	
  
	
  
Best	
  Practices	
  Brief	
  
How	
  BIRT	
  iHub	
  Creates	
  Competitive	
  Advantage	
  
Once	
  you	
  understand	
  the	
  Four	
  Pillars,	
  the	
  complexity	
  inherent	
  in	
  many	
  customer-­‐facing	
  
applications,	
  and	
  the	
  ways	
  analytics	
  can	
  drive	
  application	
  usefulness,	
  the	
  challenges	
  inherent	
  	
  
in	
  application	
  design,	
  deployment	
  and	
  delivery	
  can	
  seem	
  daunting.	
  It	
  requires	
  a	
  powerful,	
  
flexible	
  platform	
  that	
  can	
  take	
  data	
  from	
  multiple	
  sources	
  (including	
  social	
  media,	
  data	
  
warehouses	
  and	
  enterprise	
  applications)	
  and	
  personalize	
  that	
  data	
  at	
  enterprise	
  scale.	
  
Actuate’s	
  BIRT	
  product	
  suite	
  meets	
  those	
  needs.	
  With	
  BIRT,	
  all	
  data	
  is	
  synthesized	
  through	
  	
  
an	
  advanced	
  designer,	
  called	
  BIRT	
  Designer	
  Pro,	
  and	
  delivered	
  through	
  an	
  enterprise-­‐ready	
  
data	
  integration,	
  reporting,	
  and	
  business	
  analytics	
  server	
  called	
  BIRT	
  iHub.	
  In	
  Figure	
  5:	
  Features	
  
and	
  Capabilities	
  of	
  BIRT	
  iHub	
  highlights	
  some	
  major	
  features	
  and	
  capabilities	
  of	
  BIRT.	
  Analytic	
  
content	
  can	
  be	
  delivered	
  to	
  any	
  device	
  (leveraging	
  a	
  cloud-­‐friendly	
  architecture)	
  in	
  the	
  form	
  	
  
of	
  data	
  visualizations,	
  dashboards,	
  reports,	
  and	
  customer-­‐facing	
  applications.	
  
	
  
	
  
Figure	
  5:	
  Features	
  and	
  Capabilities	
  of	
  BIRT	
  iHub	
  
	
  
	
  
	
  
	
  
Copyright	
  ©	
  2015	
  Actuate	
  Corporation.	
  All	
  rights	
  reserved.	
  Actuate,	
  Legodo,	
  BIRT	
  iHub,	
  BIRT	
  Analytics,	
  BIRT	
  onDemand,	
  BIRT	
  Content	
  Services,	
  
and	
  the	
  Actuate	
  logo	
  are	
  trademarks	
  or	
  registered	
  trademarks	
  of	
  Actuate	
  Corporation	
  and/or	
  its	
  affiliates	
  in	
  the	
  U.S.	
  and	
  certain	
  other	
  
countries.	
  	
  The	
  use	
  of	
  the	
  word	
  “partner”	
  or	
  “partnership”	
  does	
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Four Pillars of Business Analytics by Actuate

  • 1.   1     Best  Practices  Brief             Four  Pillars  of  Business  Analytics     Improve  customer  experience  and  analytic  capabilities     with  Actuate  BIRT   Business  goals  for  applications  must  address  data,  people,  process  and  technology,  according     to  Gartner’s  Jamie  Popkin.  In  a  keynote  presentation  at  the  Gartner  Catalyst  Conference,   Popkin  called  this  framework  the  Four  Pillars  of  Business  Analytics.     “Gartner  indicates  by  2015,  25%  of  analytic  capabilities  will  be  embedded  in  business   applications  and  designing  data  visualizations  for  web  and  mobile  apps  will  become     a  major  growth  engine  for  the  worldwide  Business  Intelligence  and  Analytics     Software  Market.”      –  Jamie  Popkin,  Managing  VP,  Gartner   Transforming  analytic  data  into  usable  business  information  and  designing  compelling  data-­‐ driven  customer-­‐facing  applications  remains  both  an  art  and  a  science,  and  a  clear  path  to   success  is  sometimes  hard  to  identify.  Inspired  by  Popkin’s  talk,  Actuate  believes  the  Four  Pillars   framework,  shown  in  Figure  1:  Gartner’s  Four  Pillars  of  Business  Analytics,  can  help  application   initiatives  succeed.  The  Four  Pillars  can  help  developers  and  IT  managers  ask  better  questions  –   and  get  better  answers  –  when  they  develop  business  analytics  applications.  An  emerging  set     of  design  principles,  inspired  by  the  Four  Pillars,  provides  a  blueprint  for  delivering  apps  that   inform,  connect,  and  motivate  end  users.   This  best  practices  brief  describes  the  Four  Pillars  of  Business  Analytics  framework,  then  shows   how  you  can  employ  the  Four  Pillars  to  understand  your  application  needs  and  design  and  build   applications  that  inform,  connect  and  motivate  users.  The  brief  also  explains  why  Actuate’s   BIRT  platform  is  ideal  for  high-­‐user,  high-­‐volume  analytic  applications.           Best  Practices  Brief  
  • 2.   2     Best  Practices  Brief   Understanding  the  Four  Pillars       Figure  1:  Gartner’s  Four  Pillars  of  Business  Analytics     1. Information  management  foundation  (Data)   The  Data  pillar  balances  governance  and  access  in  the  information-­‐driven  enterprise.  It  requires   connecting  to  disparate  data  sources  –  regardless  of  their  type  and  location  –  to  build  a  virtual   data  warehouse  that  is  easy  and  secure  to  consume  and  use.     2. Organization  (People)   The  People  pillar  brings  IT  and  Business  communities  together  to  meet  shared  company  goals.     IT  people  require  a  visual,  programmatic  and  assembly  style  development  environment,  with   deep  integration  APIs  for  embedding  processes.  Business  people  need  secure  and  personalized   self-­‐service,  along  with  the  ability  to  embed  analytics  in  existing  applications  and  display  them   anywhere  –  including  wearable  and  mobile  devices  –  to  boost  usage.  For  IT  people,  engaging   business  groups  early  in  the  application  design  and  development  process  helps  to  drive   conversations  forward.        
  • 3.   3     Best  Practices  Brief   3. Fact-­‐based  decision  making  (Process)   The  Process  pillar  requires  having  the  right  information  at  the  right  time  to  make  better,  faster   decisions.  Because  different  roles  make  different  types  of  decisions,  it’s  important  to  leverage     the  same  data  to  support  a  variety  of  processes.  For  example,  operational  and  executive  users   require  dashboards;  customers  want  statements,  proposals  and  reports;  and  departments  need   performance  scorecards.  All  of  these  outputs  should  be  built  with  reusable  components  and   shared  across  groups  to  ensure  maximum  use.   4. Appropriate  technology  platform  (Technology)   The  Technology  pillar  encompasses  development  and  deployment,  with  systems  that     break  down  silos  of  capability.  Integrated,  open,  extensible  tools  support  growth,  so  Actuate   embraces  standards-­‐based  content  development  environment  and  provides  a  flexible,     scalable  and  secure  automated  deployment  server  (BIRT  iHub).  This  combination  has  the   flexibility  to  deliver  data  from  any  source  and  embed  it  in  any  application.   Another  way  to  understand  the  Four  Pillars  is  through  the  Business  Analytics  Framework  shown     in  Figure  2.  In  this  arrangement,  the  Data  pillar  is  the  Information  foundation  of  the  framework,     and  the  People,  Process,  and  Platform  (Technology)  pillars  are  broken  out  by  their  specific   needs  and  requirements.  It’s  important  to  note  in  Figure  2:  The  Business  Analytics  Framework   the  “Business  Models,  Business  Strategy  and  Enterprise  Metrics”  spans  all  of  the  pillars,     as  does  system  performance.         Figure  2:  the  Business  Analytics  Framework  
  • 4.   4     Best  Practices  Brief   Addressing  Complexity  in  Customer  Facing  Applications   Once  you  understand  your  application  needs  in  the  context  of  the  Four  Pillars,  look  at  each   application  in  terms  of  users  and  data.  How  many  people  will  use  an  application,  and  how     much  personalized  data  each  user  will  require  from  the  app?  As  illustrated  in  Figure  3:   Customer-­‐Facing  Applications  –  Complexity  Comparison,  applications  with  the  most  users     and  the  highest  volume  of  personalized  data  per  user  are  typically  the  most  complex,  and  the   most  challenging  in  terms  of  design,  data  access,  management,  and  delivery.  These  applications   require  a  secure,  scalable  platform  –  Actuate  BIRT  –  to  meet  unique  challenges:   • Take  a  customer-­‐centric  view,  in  order  to  focus  on  adding  value   • Manage  increased  complexity  as  customers  and  data  are  added.  These  apps  –  particularly   those  used  by  financial  institutions’  customers  –  must  support  millions  of  users  who  aren’t   consistently  tech-­‐savvy  and  who  have  unique  information  requirements     • Serve  enterprise  analytics  needs.  These  apps  must  move  beyond  departmental  scale  to   support  massive  amounts  of  data  and  users     Figure  3:  Customer-­‐Facing  Applications  –  Complexity  Comparison      
  • 5.   5     Best  Practices  Brief   Applications  in  the  upper-­‐right  quadrant  –  those  with  large  numbers  of  users  and  high  volumes   of  data  per  user  –  deliver  more  value  to  users  when  they  employ  analytics.  Analytics  is  the   discipline  that  applies  logic  and  mathematics  to  data  to  provide  insights  that  help  people  make   better  decisions.  (Indeed,  analytics  is  synonymous  with  “fact-­‐based  decision-­‐making”  found  in   the  Process  pillar.)     Four  types  of  analytics  –  descriptive,  diagnostic,  predictive,  and  prescriptive  –  are  illustrated     in  Figure  4:  Four  Types  of  Analytics.  Each  type  of  analytics  starts  with  data  and  poses  a  question,   and  each  requires  some  amount  of  human  input  to  arrive  at  a  decision.  In  the  case  of  decision   automation  –  a  subset  of  prescriptive  analytics  –  specific  actions  can  be  taken  based  on  data   without  human  input.     Each  of  the  four  types  of  analytics  has  a  place  in  an  information-­‐driven  enterprise  and  in  your   analytics  strategy.  They  are  not  a  hierarchy;  prescriptive  analytics  are  not  better  than  predictive   analytics,  for  example,  and  each  type  of  analytics  is  applicable  to  specific  use  cases.       Figure  4:  Four  Types  of  Analytics   The  ways  users  consume  and  interact  with  analytics  vary.  Embedded  analytics,  dashboards     and  reports  are  common  methods  for  presenting  analytics  to  users.  Capabilities  such  as  queries,   data  visualizations  and  packaged  analytic  solutions  for  specific  business  problems  are  often   built  into  analytic  applications.      
  • 6.   6     Best  Practices  Brief   How  BIRT  iHub  Creates  Competitive  Advantage   Once  you  understand  the  Four  Pillars,  the  complexity  inherent  in  many  customer-­‐facing   applications,  and  the  ways  analytics  can  drive  application  usefulness,  the  challenges  inherent     in  application  design,  deployment  and  delivery  can  seem  daunting.  It  requires  a  powerful,   flexible  platform  that  can  take  data  from  multiple  sources  (including  social  media,  data   warehouses  and  enterprise  applications)  and  personalize  that  data  at  enterprise  scale.   Actuate’s  BIRT  product  suite  meets  those  needs.  With  BIRT,  all  data  is  synthesized  through     an  advanced  designer,  called  BIRT  Designer  Pro,  and  delivered  through  an  enterprise-­‐ready   data  integration,  reporting,  and  business  analytics  server  called  BIRT  iHub.  In  Figure  5:  Features   and  Capabilities  of  BIRT  iHub  highlights  some  major  features  and  capabilities  of  BIRT.  Analytic   content  can  be  delivered  to  any  device  (leveraging  a  cloud-­‐friendly  architecture)  in  the  form     of  data  visualizations,  dashboards,  reports,  and  customer-­‐facing  applications.       Figure  5:  Features  and  Capabilities  of  BIRT  iHub           Copyright  ©  2015  Actuate  Corporation.  All  rights  reserved.  Actuate,  Legodo,  BIRT  iHub,  BIRT  Analytics,  BIRT  onDemand,  BIRT  Content  Services,   and  the  Actuate  logo  are  trademarks  or  registered  trademarks  of  Actuate  Corporation  and/or  its  affiliates  in  the  U.S.  and  certain  other   countries.    The  use  of  the  word  “partner”  or  “partnership”  does  not  imply  a  legal  partnership  relationship  between  Actuate  and  any  other   company.    All  other  brands,  names  or  trademarks  mentioned  may  be  trademarks  of  their  respective  owners.  219206   1 Actuate  Corporation   951  Mariners  Island  Boulevard   San  Mateo,  CA  94404     2 (+1)  888-­‐422-­‐8828   www.actuate.com   developer.actuate.com