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Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
Tableau your data! roadshow speech nyc 01302014
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Tableau your data! roadshow speech nyc 01302014

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New York City TUG speech at Tumblr.

New York City TUG speech at Tumblr.

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  • 1. New York City TUG January 30, 2014 Dan Murray Director of BI Services InterWorks, Inc.
  • 2. Topics • • • • • My first Tableau Project The data flood Being an evangelist/getting buy-in Deployment strategies Building effective dashboards
  • 3. My First Tableau Project
  • 4. Rapid Deployment • • • • Sales Inventory Accounts Receivable Accounts Payable • Purchasing
  • 5. Dimensionally-Conformed Spreadsheet
  • 6. Lessons Learned • Start quickly • Spreadsheets work • Fast payback
  • 7. Savings 3,000 hours $450,000
  • 8. I learned… Everyone needs Tableau
  • 9. The Data Flood • Volume • Velocity • Variety
  • 10. Order of Magnitude Sources: Wikipedia, Wired Magazine
  • 11. The NSA is watching • • • • • • • • • • • • Internet Searches Websites visited Emails sent & received Social Media activity Blogging activity Videos watched/uploaded Photos viewed/uploaded Cell phone GPS data Cell phone Apps downloaded Phone call records Text messages sent/received Skype video calls Source: • • • • • • • • • • • • • Online purchases/transactions Credit card transactions Financial information Legal documents Travel documents Health records Cable TV shows watched Commuter toll records Bus and subway passes Facial recognition data Arrest records Drivers license data And more…. http://nsa.gov1.info/data/index.html#data
  • 12. Digital Data 2014 462,170,216,577,264,268,748 Year-to-date through 1/28/2014 (1:12PM EST) 462.170 Exabytes 0.463 Zettabytes Source: EMC Worldwide Information Growth Ticker (power by IDC Research)
  • 13. New 1-TB Drives Needed 462,170,217
  • 14. $1.32 billion
  • 15. Storage is keeping pace.
  • 16. Variety • Relational Databases • Non-relational Databases • Grid/cache storage Over 190 commercial and open source options available.
  • 17. “New Digital Universe Study Reveals Big Data Gap: Less Than 1% of World’s Data is Analyzed.” Source: IDC http://www.emc.com/about/news/press/2012/20121211-01.htm
  • 18. Part of the Answer Tableau Software
  • 19. Answer Part II Your skill & Knowledge
  • 20. Data Visualization Evangelist
  • 21. “We humans are not a consistent identity moving through time, but a chain of successive selves, each tangentially linked to, and yet distinct from, the previous and subsequent ones.” Derek Parfit Philosopher & Author of Reasons and Persons
  • 22. Getting Buy-in Move quickly Make a compelling story Show something they haven’t seen
  • 23. Pick something you can finish in < 4 weeks
  • 24. Don’t do what your boss asks you to do…
  • 25. Make something better…
  • 26. Deployment Strategies
  • 27. Consider organizational culture
  • 28. Facebook Mostly organic growth with a common company culture.
  • 29. Cisco Systems Growth through acquisition with a variety of company cultures.
  • 30. Facebook • Centrally controlled • Center of excellence • Rapid expansion
  • 31. Cisco Systems • Central funding • Decentralized control • Natural adoption
  • 32. Both successful
  • 33. Building Effective Dashboards
  • 34. Effective means They fit in the available space Load quickly Are easy to use & understand
  • 35. Cascading Design
  • 36. A live example ..using the Coffee Chain data..
  • 37. Dan Murray dan.murray@interworks.com Twitter: dgm885 Speech notes http://tableauyourdata.com/downloads/

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