The document presents a collection of quotes regarding the importance and impact of data in various fields, emphasizing its role in innovation and competition. Key insights include the concept of 'big data' as a fundamental driver of productivity and the necessity for organizations to effectively utilize both their own and external data. Additionally, it highlights the role of data scientists in managing and interpreting data to inform decision-making processes.

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