Great quotes from historical leading thinkers (Einstein) to contemporary (Tim O’Reilly & DJ Patil) have to say about the power, use and analysis of data.

1. Partner, Birchmere Ventures
Adjunct Faculty, Carnegie Mellon University
@SeanAmmirati
SeanAmmirati.com
9 Great
Quotes
about Data

2. “data is the
next Intel
Inside”
Tim O’Reilly
http://oreilly.com/web2/archive/what-is-web-20.html?page=3

3. "Not everything that
can be counted
counts, and not
everything that
counts can
be counted."
Albert Einstein
https://twitter.com/georgezachary/status/507601329666002946

4. “The question facing every
company today, every startup,
every non-profit, every project site
that wants to attract a community,
is how to use data effectively
— not just their own data, but all
the data that’s available and
relevant.”
http://www.oreilly.com/data/free/what-is-data-science.csp

5. “The amount of data in our world has
been exploding, and analyzing large
data sets—so-called big data—will
become a key basis of competition,
underpinning new waves of
productivity growth, innovation,
and consumer surplus …Leaders in
every sector will have to grapple with the
implications of big data, not just a few
data-oriented managers.”
Big data: The next frontier for innovation,
competition, and productivity
http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation

6. “We use data to inform certain decisions
… [but] overreacting to data can lead to
micro optimizations.”
Adam Mosseri
https://www.youtube.com/watch?v=bKZiXAFeBeY

7. “Big Data = Crude Oil …
but you need to refine the
crude oil.
Enter Data Science”
Carlos Somohano,
Data Science London
http://www.slideshare.net/datasciencelondon/big-data-sorry-data-science-what-does-a-data-scientist-do

8. What differentiates data
science from statistics is that
data science is a holistic
approach. We’re increasingly
finding data in the wild, and
data scientists are involved
with gathering data,
massaging it into a tractable
form, making it tell its story,
and presenting that story to
others.
http://www.oreilly.com/data/free/what-is-data-science.csp

9. ““If you separate out your science
team, they can't do their best work.
They'll get bored or spin their wheels.”
Gordon Rios
Pandora’s first official Data Scientist
http://firstround.com/article/What-I-Learned-As-Pandoras-First-Data-Scientist

10. “Our solution [at LinkedIn] was to
make the data group a full product
team responsible for designing,
implementing, and maintaining
products. As a product team, data
scientists could experiment, build, and
add value directly to the company”
DJ Patil, LinkedIn
First Head of Data Products
Chief Scientist
http://radar.oreilly.com/2011/09/building-data-science-teams.html

11. Image Credits
Slide 1: https://www.flickr.com/photos/infocux/8450190120
Slide 2: https://www.flickr.com/photos/jdlasica/4034430734/
Slide 4: https://www.flickr.com/photos/geckzilla/14605362499/
Slide 5: https://www.flickr.com/photos/thomasthomas/504369245
Slide 6: https://www.flickr.com/photos/prisonerjohn/2915703137
Slide 7: https://www.flickr.com/photos/benachou/2149105241
Slide 9: https://www.flickr.com/photos/124961070@N02/14485059353
Slide 10: https://www.flickr.com/photos/jdlasica/5642321545