Building Data Teams

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Slides from a talk on building data teams

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Building Data Teams

  1. 1. Building Data Teams Lessons Learned & What’s Next
  2. 2. Big Data - Definition
  3. 3. Big Data - Definition George Dyson, Strata conference in London 2012: “the era of big data started when the human cost of making the decision of throwing something away became higher than the machine cost of continuing to store it.”
  4. 4. Data Science - Definition
  5. 5. Teaching 1 - No Unicorns
  6. 6. ● 80% of new data scientists jobs are not filled ● By 2018 the US will have a shortage of 190.000 data scientists Teaching 1 - No Unicorns Source: http://blogs.wsj.com/cio/2014/02/14/it-takes-teams-to-solve-the-data-scientist-shortage/ & http://blog.pivotal.io/pivotal/news-2/mckinsey-report-highlights-the-impending-data-scientist-shortage
  7. 7. Teaching 1 - No Unicorns Finding Data Scientist Unicorns… Source: http://www.forbes.com/sites/danwoods/2012/03/08/hilary-mason-what-is-a-data-scientist/ & http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
  8. 8. Teaching 1 - No Unicorns Source: http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf
  9. 9. Teaching 1 - No Unicorns Hacking & Engineering Statistics & Analytics DATA TEAM Business Analysis & Communication
  10. 10. Teaching 2 - Street Fighting DS *Source: http://de.slideshare.net/pskomoroch/street-fighting-data-science-12072010
  11. 11. Teaching 2 - Street Fighting DS *Source: http://de.slideshare.net/pskomoroch/street-fighting-data-science-12072010 ● Focus on results, improvise ● Careful with complex models (Occam’s Razor) ● Check your assumptions ● Look at your data, literally ● Robust evaluation processes
  12. 12. Teaching 3 - No Tech Wars
  13. 13. Teaching 4 - Soft Skills ... matter! Source: http://data-informed.com/soft-skills-matter-data-science/
  14. 14. What’s next?
  15. 15. What’s next? - Data Maturity Data Maturity Competitive Advantage Collect Data DWH, Ad Hoc Reports Standard Reports, Analytics AB-Testing, Growth Hacking Predictive Modelling, Multivariate Analysis Recsys,Data Products Data Democratization, Business Science
  16. 16. What’s next? Data Science Big Data Source: http://www.gartner.com/newsroom/id/2819918, Gartner Hype Cycle for Emerging Technologies 2014
  17. 17. Source: http://www.google.com/trends/explore#q=%22data%20science% 22&cmpt=date What’s next?
  18. 18. Summary ● No unicorns ● Street fighting data science ● No tech wars ● Soft skills matter
  19. 19. Contact twitter: @jmoldvay email: janos@jimdo.com blog: blabladata.com

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