Upload
jose-papo
View
755
Download
1
Tags:
Embed Size (px)
DESCRIPTION
Big Data e as Tecnologias Disruptivas - TDC 2014
Citation preview
Big Data e as Tecnologias Disruptivas
José Papo @josepapo
“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
Collect/Supply: Gather and sell raw data.
Interested parties will pay you so they don’t
have to gather the data on their own.
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.
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.
Enhance/Enrich: Add value to a raw dataset
by merging it with another, or by
precomputing results that people are likely to
use.
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.
Analyze: Uncover new information to guide business decisions,
and otherwise explore data to
answer questions.
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.
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.
Agricultura ○○○○
Manufatura e Equipamentos
○○○○
« Os novos times de inovação serão compostos por cientistas de dados, desenvolvedores de software, especialistas em Cloud e projetistas industriais/hardware»
Tim O’Reilly
Publicidade e Retail ○○○○
Finanças
○○○○
Saúde ○○○○
Educação
○○○○
Transporte ○○○○
Turismo e Hotelaria
○○○○
OBRIGADO!!!
slideshare.net/jpapo