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BI	
  and	
  The	
  Cloud:	
  
What	
  does	
  it	
  all	
  mean?	
  
Pano	
  M.	
  Xinos	
  
For	
  the	
  sake	
  of	
  clarity…	
  
Necessary	
  evil	
  

On-­‐demand,	
  self-­‐service	
  
Broad	
  network	
  access	
  
Resource	
  pooling	
  
Rapid	
  elasLcity	
  
Measured	
  service	
  
	
  
hMp://csrc.nist.gov/publicaLons/nistpubs/800-­‐145/SP800-­‐145.pdf	
  

Private	
  cloud	
  
Public	
  cloud	
  
Hybrid	
  cloud	
  
IaaS	
  
PaaS	
  
SaaS	
  
PredicLve	
  AnalyLcs	
  =	
  Big	
  Data	
  
Business	
  Intelligence	
  ≠	
  Big	
  Data	
  
THREE	
  IDEAS	
  	
  
One	
  

CHEAP,	
  ACTIONABLE	
  INFORMATION	
  
Two	
  

AS	
  “BIG	
  DATA”	
  à	
  MAINSTREAM	
  
BUSINESS	
  INTELLIGENCE	
  =	
  BIG	
  DATA	
  
Three	
  

GARBAGE	
  IN,	
  GARBAGE	
  OUT	
  
(“IT’S	
  NOT	
  INFORMATION	
  OVERLOAD;	
  IT’S	
  
FILTER	
  FAILURE.”)	
  
One	
  

CHEAP,	
  ACTIONABLE	
  INFORMATION	
  
hMp://aws.amazon.com/ec2/pricing/	
  (Oct.	
  2013)	
  

hMp://www.google.com/trends/	
  (Oct.	
  2013)	
  
hMp://aws.amazon.com/ec2/pricing/	
  (Oct.	
  2013)	
  
$3B+	
  of	
  revenue	
  in	
  2013	
  
can’t	
  be	
  wrong	
  
Big	
  Data	
  <3’s	
  Cloud	
  
	
  
Large	
  Workloads	
  
+	
  Cloud	
  CompuLng	
  
XOXOXOX	
  
CommodiLzed	
  compute	
  combined	
  
with	
  predicLve	
  analyLc	
  tools	
  yields	
  
acLonable	
  informaLon	
  
Cloud	
  
+	
  PredicLve	
  Data	
  AnalyLcs	
  
Cheap,	
  AcLonable	
  InformaLon	
  
“Man	
  Spends	
  266	
  Hours	
  Awake	
  For	
  
World	
  Record,	
  Now	
  Feels	
  Stupid”	
  

hMp://www.wired.com/table_of_malcontents/2007/05/man-­‐spends-­‐266-­‐hours-­‐awake-­‐for-­‐world-­‐record-­‐now-­‐feels-­‐stupid/	
  
Two	
  

AS	
  “BIG	
  DATA”	
  à	
  MAINSTREAM	
  
BIG	
  DATA	
  =	
  BUSINESS	
  INTELLIGENCE	
  
hMp://www.infoincog.com/the-­‐big-­‐data-­‐hype-­‐cycle/	
  
It’s	
  not	
  all	
  doom	
  and	
  gloom	
  
hMp://bytesizebio.net/2013/04/13/terrible-­‐advice-­‐from-­‐a-­‐great-­‐scienLst/	
  
Future	
  success	
  is	
  measured	
  in	
  
terms	
  of	
  opportunity	
  cost	
  
Image:	
  hMp://thecareerblog.wordpress.com/	
  
Companies	
  that	
  already	
  have	
  a	
  BI	
  
pracLce	
  will	
  more	
  easily	
  
integrate	
  predicLve	
  analyLcs	
  
Open	
  source	
  is	
  a	
  low(er)	
  cost	
  
soluLon	
  that	
  will	
  help	
  drive	
  
adopLon	
  
As	
  predicLve	
  analyLcs	
  is	
  more	
  
widely	
  adopted,	
  it	
  will	
  merge	
  
with	
  BI	
  as	
  a	
  new	
  pracLce	
  
hMp://www.woldfitness.com	
  
Three	
  

GARBAGE	
  IN,	
  GARBAGE	
  OUT	
  
(“IT’S	
  NOT	
  INFORMATION	
  OVERLOAD;	
  IT’S	
  
FILTER	
  FAILURE.”1)	
  
“It’s	
  not	
  informaLon	
  overload;	
  
it’s	
  filter	
  failure.”	
  

-­‐-­‐Clay	
  Shirky	
  (2008)	
  

1	
  hMp://www.youtube.com/watch?v=LabqeJEOQyI	
  
hMp://blog.poMerzot.com/2007/09/25/garbage-­‐in-­‐garbage-­‐out-­‐and-­‐the-­‐desire-­‐to-­‐cover-­‐our-­‐own-­‐ass-­‐is-­‐ruining-­‐the-­‐world/	
  
Flickr,	
  Copyright	
  ShieldkiMen	
  
PoliLcs	
  

hMp://www.threehundredeight.com/	
  
So,	
  what	
  does	
  it	
  all	
  mean?	
  
One	
  

CLOUD	
  IS	
  CHEAP.	
  INFORMATION	
  IS	
  
PRICELESS.	
  
Two	
  

GET	
  ON	
  BOARD	
  WHILE	
  THE	
  GETTING	
  IS	
  
GOOD.	
  
Three	
  

EXPERIENCE	
  AND	
  INDUSTRY	
  
EXPERTISE	
  SOLVES	
  PROBLEMS.	
  
Thank	
  you!	
  
@pmxinos	
  
PanoXinos.TDWI@gmail.com	
  

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Bi and The Cloud: What does it all mean?