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Pragmatic steps to implement big data analytics

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How to approach and deliver on a big data or analytics project. Do you have a tough problem that begs a tough solution? We discuss why and how to complete the project without rockstars, ninjas, or unicorns. A few case studies will be presented for discussion. Attendee participation is encouraged as we discuss different vendor capabilities and technologies.

Published in: Data & Analytics
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Pragmatic steps to implement big data analytics

  1. 1. Pragmatic Steps to Implement Big Data Analytics Alton Alexander @AltonDataSci
  2. 2. Thanks to our Sponsors!
  3. 3. About Alton • Insights manager at MRM//McCANN • B2B Marketing Analytics http://venturebeat.com/20 15/03/17/why-data- scientists-and-marketing- technologists-are-the- hottest-jobs-of-2015/
  4. 4. Agenda • What to do before taking any steps • The pragmatic steps to implementing big data analytics • Case studies with audience participation
  5. 5. Tom Post says: - Have an idea of the story before the interview - Provide value - Everything is about storytelling
  6. 6. https://doubleclix.wordpress.com/2014/12/07/business-users-shouldnt-touch-hadoop-even-with-a-99-foot-pole/ What is the end goal?
  7. 7. What is the end goal? • Increased clarity: Infer the essentials from an onslaught of data • Deliver actionable: Make a fundamental succinct inference that matters • Add value: The numbers themselves aren’t the insight. Tell the story.
  8. 8. What universal skills will we need to achieve the end goal? • Hacker Behavior • GRIT: Persevere, Flourish, Succeed • Self-Awareness • An aversion to distractions • A drive to work better https://www.americanexpress.com/us/small- business/openforum/articles/5-traits-great-high-growth-hires
  9. 9. The Pragmatic Steps to Big Data Analytics • Be a data scientist
  10. 10. The Pragmatic Steps to Big Data Analytics With the end goal in mind: • Collect • Store • Transform • Model • Predict • Present results
  11. 11. http://horicky.blogspot.com/2013/08/six-steps-in-data-science.html
  12. 12. Becoming a Data Scientist – Curriculum via Metromap http://nirvacana.c om/thoughts/bec oming-a-data- scientist/
  13. 13. Top 10 Steps to a Pragmatic Big Data Pipeline https://doubleclix.wordpress.com/2011/11/10/top-10-steps-to-a-pragmatic-big-data-pipeline/
  14. 14. http://www.computerworld.co m/article/2899647/the-data- science-ecosystem.html
  15. 15. From Dan McKinley’s must read article http://mcfunley.com/choose-boring-technology • Embrace boredom • Optimize globally • Choose new technology sometimes • Just ship!
  16. 16. From Dan McKinley’s must read article http://mcfunley.com/choose-boring-technology The way you might choose technology in a world where choices are cheap: "pick the right tool for the job." The way you choose technology in the world where operations are a serious concern (i.e., "reality")
  17. 17. http://www. computerwo rld.com/artic le/2882819/l earn-how- to-crunch- big-data- with-r.html
  18. 18. Case Studies • Discussion: – Don’t feel intimidated – Don’t try to impress – Be realistic and sensible
  19. 19. What universal skills will we need to achieve the end goal? • Hacker Behavior • GRIT: Persevere, Flourish, Succeed • Self-Awareness • An aversion to distractions • A drive to work better https://www.americanexpress.com/us/small- business/openforum/articles/5-traits-great-high-growth-hires

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