9 Great Quotes about Data

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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.

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Partner, Birchmere Ventures

Adjunct Faculty, Carnegie Mellon University

@SeanAmmirati

SeanAmmirati.com

9 Great

Quotes about Data

“data is the next Intel

Inside”Tim O’Reilly

http://oreilly.com/web2/archive/what-is-web-20.html?page=3

"Not everything that can be counted counts, and not everything that

counts canbe counted."

Albert Einstein

https://twitter.com/georgezachary/status/507601329666002946

“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

“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

“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

“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

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

““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

“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, LinkedInFirst Head of Data Products

Chief Scientist

http://radar.oreilly.com/2011/09/building-data-science-teams.html

Image CreditsSlide 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