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Why you’re doing 
Big Data wrong

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How BDaaS can help you do Big Data right.

Published in: Data & Analytics
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Why you’re doing 
Big Data wrong

  1. 1. Why  you’re  doing  
 Big  Data  wrong Ma#hew  Painter
 CTO  at  import.io
  2. 2. Data:  Supply  and  Demand Volume Electronic   Databases Demand Supply Big  Data Business     Intelligence 1980s 1990s 2000s 2010’s
  3. 3. A  case  study
  4. 4. This  is  Jackie
  5. 5. she  is  a  Data  Scien:st   working  for  a  global   publishing  house
  6. 6. She  wanted  data  for   pricing  books
  7. 7. She  started  manually
  8. 8. She  tried  scrapers
  9. 9. Both  of  these   weren’t  feasible
  10. 10. Slow  &  Expensive
  11. 11. Hard  to  resource
  12. 12. GeCng  data  off  the   web  can  be  fast
  13. 13. Data  in  minutes
  14. 14. Data  in  seconds
  15. 15. Perfect  for  data   journalists…
  16. 16. or  small  companies
  17. 17. Why’s  it  not  right   for  Jackie?
  18. 18. Scale.
  19. 19. Big-­‐Data-­‐as-­‐a-­‐Service “the  forecast  value  of  the  BDaaS  market  could  be  $30  billion”  -­‐  Forbes
  20. 20. Benefits  of  BDaaS   data  supply
  21. 21. Data  scienNst  ready:
 maximum  value
  22. 22. Specialist  skills:
 web  insights  quicker
  23. 23. Known  cost:   predictable  ROI
  24. 24. Scalable  data:
 supply  your  demand
  25. 25. Do  Big  Data  right…
  26. 26. reclaim  >50%  of  your   Data  ScienNsts’  Nme

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