Big Data e as Tecnologias Disruptivas - TDC 2014

1. Big Data e as Tecnologias
Disruptivas
José Papo
@josepapo

6. “Algorithms have already written
symphonies as moving as those
composed by Beethoven,
picked through legalese with the
deftness of a senior law
partner, diagnosed patients
with more accuracy than a
doctor, written news articles
like a seasoned reporter,
and driven vehicles on urban
highways with better control than
a human driver.”
!

10. 10

11. Collect/Supply: Gather
and sell raw data.
Interested parties will
pay you so they don’t
have to gather the
data on their own.

12. Store/Host: Provide a way to
hold on to someone else’s
data for them. This can be
especially profitable if you
hold the same data for
several parties, as you
benefit from economies of
scale.

13. Filter/Refine: Data cleansing is
a thankless but necessary
task in any analytics exercise.
Instead of just selling
someone a raw dataset, you
can charge a premium for one
that omits duplicate records
and otherwise dirty data.

14. Enhance/Enrich: Add
value to a raw dataset
by merging it with
another, or by
precomputing results
that people are likely to
use.

15. Simplify Access: Help people
cherry-pick the data they want,
in the format they prefer. This
can be as simple as converting
data to a more convenient
format (say, from PDF to CSV),
to something as complex as a
system that helps people find
data and subset it to their liking.

16. Analyze: Uncover new
information to guide
business decisions,
and otherwise
explore data to
answer questions.

17. Obscure: Data has become
easier to collect over the
years, but not everyone wishes
to be part of an analytics
exercise. Certain businesses
make their money by helping
people and businesses keep
their data from prying eyes.

18. Consult/Advise: Data has
become a key ingredient in
a number of business
realms. Specialized
consultants can help firms
to make the most of their
data, from how to analyze it
to how to monetize it.

19. Agricultura
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23. Manufatura e
Equipamentos
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31. « Os novos times de inovação serão
compostos por cientistas de dados,
desenvolvedores de software,
especialistas em Cloud e projetistas
industriais/hardware»
Tim O’Reilly

32. Publicidade e
Retail
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38. Finanças
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45. Saúde
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52. Educação
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54. Transporte
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57. Turismo e Hotelaria
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60. OBRIGADO!!
!
slideshare.net/jpapo