Pragmatic steps to implement big data analytics
Download as PPTX, PDF1 like1,793 views
The document outlines pragmatic steps for implementing big data analytics, emphasizing the importance of storytelling and actionable insights. It highlights essential skills needed for success, such as perseverance and self-awareness, and provides a structured approach involving data collection, storage, transformation, modeling, prediction, and presentation. Additionally, it encourages audience participation through case studies to demystify big data analytics.
Pragmatic steps to implement big data analytics
- 1. Pragmatic Steps to Implement Big Data Analytics Alton Alexander @AltonDataSci
- 2. Thanks to our Sponsors!
- 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. Agenda • What to do before taking any steps • The pragmatic steps to implementing big data analytics • Case studies with audience participation
- 5. Tom Post says: - Have an idea of the story before the interview - Provide value - Everything is about storytelling
- 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. 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. The Pragmatic Steps to Big Data Analytics • Be a data scientist
- 10. The Pragmatic Steps to Big Data Analytics With the end goal in mind: • Collect • Store • Transform • Model • Predict • Present results
- 12. Becoming a Data Scientist – Curriculum via Metromap http://nirvacana.c om/thoughts/bec oming-a-data- scientist/
- 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/
- 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. 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")
- 18. Case Studies • Discussion: – Don’t feel intimidated – Don’t try to impress – Be realistic and sensible
- 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