Big Lies and Small Truths, Tales From An Accidental Data Scientist

Data Whisperer and Design Thinker
Feb. 5, 2014
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
Big Lies and Small Truths, Tales From An Accidental Data Scientist
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Big Lies and Small Truths, Tales From An Accidental Data Scientist

Editor's Notes

  1. Big Lies and Small Truths: Tales from the Accidental Big Data Scientist Speaker: John Feland, Ph.D., Argus InsightsWe have reached a stage in the evolution of Big Data where collecting and accessing tremendous amounts of data has moved from challenging to mundane. The next challenge will be in turning these storehouses into analytical work horses for businesses in a variety of marketplaces.In this talk, Dr. John Feland will describe the lessons he learned from deployments of predictive analytics in Digital Marketing and the Internet of Things. John will also share how he accidentally founded a Big Data company, what he has learned along the way to separate the hype from the useful, and where he postulates that Big Data could take us.John Feland, Ph.D., is the founder and CEO of Argus Insights, a leader in Experience Analytics that was started in 2009 to answer the question "How can traditional market research be improved and help drive innovation instead of validation?"John has taught Design and Innovation at Stanford University, and he led the team that created the first working Multi-Touch Smartphone prototype six months before the iPhone was announced. Driven by his deep experience in the Consumer Electronics value chain and human center design, John has built an enterprise focused on helping clients uncover unfair methods of competing by delighting customers.
  2. Snapshot from brazil? Being washed away by paper work?Minority report?Enemy of the state?
  3. Depends on the goalPrototype FirstAnything done well with Hadoop can be done poorly and cheaply by something else
  4. Medical clinic from
  5. iPhone, Nokia logosQuotes from industry pundits about iPhone
  6. Social sampling shows Lipstick brand conversations occupy less than 1% of consumer lipstick mentionsOut of brand social analysis can reveal emerging trends, influencers, and new competitors
  7. 10% of total mentionsFilters constructed to focus not on brands, shows, movies but pure mentions of vampires and zombiesVampires 476596 tweetsZombies 715615 tweets
  8. 1897 Dracula2009 P,P and ZTwilight 2005