Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Zeng Ming of Alibaba: "Making Sense of Big Data"


Published on

Published in: Technology
  • Be the first to comment

Zeng Ming of Alibaba: "Making Sense of Big Data"

  1. 1. Making  Sense  of  BIG  DATA      Ming  Zeng  Chief  Strategy  Officer  Alibaba  Group
  2. 2. n  213 million UV wholeday, 10 million in thefirst minute Big Numbers!
  3. 3. dataExponential growth of data of a typical e-commerce companyconsumer 100MBorder 10GBVisiting sessions 1TBClicks 100TB
  4. 4. Big  Data  is  more  than  big  numbers:    A  Comparison  of  Data  CollecBon      •  TradiBonal  data  collecBon  –  PopulaBon  is  well  defined  –  Data  collecBon  is  expensive  –  QuesBons  are  formulated  –  Sampling  method  and  size  are  determined  before  collecBng  data  •  Web  data  collecBon    –  Data  populaBon  isn’t  well  defined  –  Data  is  generated  and  collected  automaBcally  –  Data  storage  and/or  calculaBon  are  expensive  –  QuesBons  are  added  as  needed  
  5. 5. From structured to unstructured dataStructureddata asbyproduct offixedprocessesUnstructureddata drivesemergingprocessesØ  IT, ERP, BIØ  Data is facilitating businessØ ?Ø Data IS the business5
  6. 6. 2003 2004 2005 2006 2007 2008 2009Alibaba
  7. 7. …..Hence  the  birth  of  Alibaba  Cloud  CompuBng  •  Advanced  data-­‐centric  cloud  compuBng  services  – Develop  scalable,  reliable,  low  cost  and  secure  technology  infrastructure
  8. 8. Goal:  Get  Most  and  Best  from  Data  •  Retain  raw  data  as  much  as  possible  – Answer  un-­‐expected  quesBons  •  Combine  data  from  mulBple  sources  – SynergeBc  view  of  data  •  Understand  the  data  – Decipher  the  meaning  of  data    •  Create  value  from  data  
  9. 9. •  Big  data  pushes  technology  innovaBon  of  cloud  compuBng  •  Cloud  compuBng  enables  business  innovaBon  of  big  data
  10. 10. Alibaba  Micro-­‐Finance•  In  less  than  2  years,  has  provided  loans  to  more  than  150,000  SMEs,  with  average  loan  size  only  50,000  RMB  •  Through  financial  modeling  of  rich  data  of  Alibaba  group,  can  provide  loans  in  less  than  a  day,  someBmes  even  in  minutes  •  Runs  all  the  compuBng  needs  through  Alibaba  Cloud  CompuBng,  dramaBcally  reduces  operaBon  costs  
  11. 11. Further  thoughts•  Big  Data  and  Knowledge  Worker?    •  From  Company  to  new  forms  of  organizaBon?