9 Great Quotes about Data

  • View

  • Download

Embed Size (px)


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.

Text of 9 Great Quotes about 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 OReilly 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 thats 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 setsso-called big datawill 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. Were 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 Pandoras 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