building data teams

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Building Data Teams Lessons Learned & What’s Next

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Building Data TeamsLessons Learned & What’s Next

Big Data - Definition

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.”

Data Science - Definition

Teaching 1 - No Unicorns

● 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

Teaching 1 - No UnicornsFinding 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

Teaching 1 - No Unicorns

Source: http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf

Teaching 1 - No Unicorns

Hacking & Engineering

Statistics &Analytics

DATATEAM

Business Analysis & Communication

Teaching 2 - Street Fighting DS

*Source: http://de.slideshare.net/pskomoroch/street-fighting-data-science-12072010

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

Teaching 3 - No Tech Wars

Teaching 4 - Soft Skills

... matter!

Source: http://data-informed.com/soft-skills-matter-data-science/

What’s next?

What’s next? - Data Maturity

Data Maturity

CompetitiveAdvantage

Collect Data

DWH,Ad Hoc Reports

Standard Reports,Analytics

AB-Testing,Growth Hacking

Predictive Modelling,Multivariate Analysis

Recsys,Data Products

Data Democratization, Business Science

What’s next?Data Science Big Data

Source: http://www.gartner.com/newsroom/id/2819918, Gartner Hype Cycle for Emerging Technologies 2014

Source: http://www.google.com/trends/explore#q=%22data%20science%22&cmpt=date

What’s next?

Summary

● No unicorns● Street fighting data science● No tech wars● Soft skills matter

Contact

twitter: @jmoldvayemail: [email protected]: blabladata.com